> ## Documentation Index
> Fetch the complete documentation index at: https://doc.lucidworks.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Lucidworks MCP

export const LwTemplate = ({title = "Key questions to get you started", icon = "sparkles", cta = "Powered by Agent Studio", linkHref = "https://lucidworks.com/demo/?utm_source=docs&utm_medium=referral&utm_campaign=docs_cta_ai"}) => {
  const [isLoaded, setIsLoaded] = useState(false);
  useEffect(() => {
    const timer = setTimeout(() => {
      setIsLoaded(true);
    }, 500);
    return () => clearTimeout(timer);
  }, []);
  return <div className="lw-template-container">
      <Card title={title} icon={icon}>
        {isLoaded && <span dangerouslySetInnerHTML={{
    __html: `<lw-template id="a029c1a9-28be-427e-b0e1-5d918920246a"></lw-template
            >`
  }} />}
        <Link href={linkHref} className="agent-studio-link text-left text-gray-600 gap-2 dark:text-gray-400 text-sm font-medium flex flex-row items-center hover:text-primary dark:hover:text-primary-light group-hover:text-primary group-hover:dark:text-primary-light">Powered by Lucidworks Agent Studio</Link>
      </Card>
    </div>;
};

Lucidworks MCP (Model Context Protocol) enables agentic search using Claude to search your Fusion data.
You configure the connection once, and Claude can immediately search your indexed content.

<Frame>
  <img src="https://mintcdn.com/lucidworks/dj18HRmW1PJPy2e0/assets/images/5.17/mcp-illustration.png?fit=max&auto=format&n=dj18HRmW1PJPy2e0&q=85&s=7ea2682999498b6725cc4e0eb28ae5d0" alt="Claude can connect to Fusion using MCP" width="2400" height="1097" data-path="assets/images/5.17/mcp-illustration.png" />
</Frame>

<LwTemplate />

## Benefits

Lucidworks MCP server provides these advantages:

* **Self-service integration:** Configure Claude to access Fusion data without custom API development.
* **Enterprise security:** Leverages Fusion's existing security controls, including field-level security, role-based access, and audit logging.
* **Multi-tenant architecture:** Support multiple use cases with different data access patterns using query profiles and collection isolation.
* **Query pipeline integration:** Claude benefits from your custom query pipelines, ML models, and relevance tuning.
* **Extensible tool framework:** Add custom tools programmatically that automatically become available to Claude.

## Supported AI clients

Lucidworks MCP works with any MCP-compatible AI client, including these popular clients:

* **Claude Code** - Command-line AI agent with built-in MCP support (recommended for easiest setup).
* **Claude Desktop** - Desktop application for conversational AI.

## MCP server setup

### Before you begin

Before configuring MCP access, ensure you have the following:

* Fusion 5.17 or later deployed with the MCP Server service running
* A Fusion app configured with indexed content
* A query profile created for MCP access
* An [API key](/docs/5/fusion/operations/security/access-control/api-keys) generated in Fusion with [appropriate permissions](#api-key-permissions)
* Claude Code (recommended) or Claude Desktop

<Info>
  The MCP server runs on your Fusion infrastructure at `https://FUSION_HOST/mcp`.
</Info>

### API key permissions

Your API key must have specific access permissions to use the MCP server.
The `search` scope alone is insufficient.

As a temporary solution, you can add the following API access permissions to your API key:

```
POST:/apps/*/signals/**
POST,GET:/query/**
POST:/signals/**
PATCH:/users/{id}:id=#ID
POST,GET:/apps/*/query/**
POST,GET:/mcp
```

Alternatively, you can add `POST,GET:/mcp` to an existing role that already has the 'search' scope.

### Configure the MCP server

If you are using self-hosted Fusion, the MCP server is configured in your Fusion configuration file.
You define search experiences that map to specific Fusion applications and query profiles.

<Accordion title="Configure MCP Server">
  <Steps>
    <Step title="Open your Fusion configuration file">
      Open your Fusion `values.yaml` configuration file.
    </Step>

    <Step title="Add the MCP server configuration">
      Add the MCP server configuration to the `query-pipeline` service configuration with at least one search experience, as in this example:

      ```yaml wrap theme={"dark"}
      query-pipeline:
        searchExperiences:
          - name: "YOUR_FIRST_SEARCH_EXPERIENCE_NAME"
            description: "YOUR_FIRST_SEARCH_EXPERIENCE_DESCRIPTION"
            application-name: "YOUR_FIRST_APPLICATION_NAME"
            query-profile: "YOUR_FIRST_QUERY_PROFILE"
          - name: "YOUR_SECOND_SEARCH_EXPERIENCE_NAME"
            description: "YOUR_SECOND_SEARCH_EXPERIENCE_DESCRIPTION"
            application-name: "YOUR_SECOND_APPLICATION_NAME"
            query-profile: "YOUR_SECOND_QUERY_PROFILE"
      ```

      Replace the placeholder values with your own Fusion configuration.
      Supported configuration parameters are listed below.
    </Step>

    <Step title="Redeploy Fusion">
      The MCP server validates the configuration at deployment and requires at least one valid search experience with all required fields populated.
      If no valid search experiences are configured, the service fails to start with an error message.
    </Step>
  </Steps>
</Accordion>

The following configuration parameters are supported:

<ParamField path="mcp-server.tools.search-documents.description" type="string">
  Description for the `search_documents` tool.
  This parameter is optional and has a safe default that includes critical dependency information.

  <Warning>
    Only override this if you understand [how the tools work together](#how-the-tools-work-together).
    The default description instructs Claude to first call `list_search_experiences` to obtain valid search experience names.
    Incorrect descriptions can break the automatic workflow.
  </Warning>
</ParamField>

<ParamField path="mcp-server.tools.list-search-experiences.description" type="string">
  Description for the `list_search_experiences` tool.
  This parameter is optional and has a safe default that includes usage examples.

  <Warning>
    Only override this if you understand [how the tools work together](#how-the-tools-work-together).
    Modifying this incorrectly can prevent Claude from discovering available search experiences properly.
  </Warning>
</ParamField>

<ParamField path="query-pipeline.searchExperiences" type="array" required>
  List of available search experiences.
  Each search experience defines how the MCP server routes queries to Fusion applications.
  You must configure at least one search experience.
</ParamField>

<ParamField path="query-pipeline.searchExperiences.name" type="string" required>
  Display name of the search experience.
  Claude uses this name to route queries.
</ParamField>

<ParamField path="query-pipeline.searchExperiences.description" type="string" required>
  Description of what this search experience contains.
  This helps Claude determine which search experience to use for a given query.

  <Tip>
    A well-crafted description helps provide a seamless experience for users.
    Make your descriptions as detailed as possible to enable Claude to quickly identify the right search experience for any prompt.
  </Tip>
</ParamField>

<ParamField path="query-pipeline.searchExperiences.application-name" type="string" required>
  Fusion application name to query.
</ParamField>

<ParamField path="query-pipeline.searchExperiences.query-profile" type="string" required>
  Fusion query profile to use for queries.
</ParamField>

### Connect an AI agent

To connect an AI agent to Fusion, you need your [Fusion API key](/docs/5/fusion/operations/security/access-control/api-keys) for authentication.
The key is sent as an HTTP header with each request.

<AccordionGroup>
  <Accordion title="Connect Claude Code">
    Claude Code provides easy setup with a single command.

    <Steps>
      <Step title="Add the Lucidworks MCP server">
        ```bash wrap theme={"dark"}
        claude mcp add --transport http fusion https://FUSION_HOST/mcp --header "x-api-key: FUSION_API_KEY"
        ```

        Replace the placeholder values with your Fusion host, port, and API key.

        <Note>
          If you receive errors when running this command, check your Claude Code version.
          The `--transport` and `--scope` flags require a recent version of Claude Code.
        </Note>

        <Tip>
          By default, MCP servers are scoped to the current project.
          To make the server available globally across all projects, add `--scope user`.
          To explicitly scope it to the current project, add `--scope project`.
        </Tip>
      </Step>

      <Step title="Verify the configuration">
        ```bash wrap theme={"dark"}
        claude mcp list
        ```

        You should see `fusion` listed, with the HTTP transport.
      </Step>
    </Steps>
  </Accordion>

  <Accordion title="Connect Claude Desktop">
    Lucidworks provides an MCP Bundle (`.mcpb`) file that enables easy setup; this is the recommended method.
    Alternatively, you can configure Claude Desktop manually by editing the JSON configuration file.

    <Tabs>
      <Tab title="MCP Bundle (Recommended)">
        1. Make sure Claude Desktop is already installed.

        2. [Download `fusion-5-17-0.mcpb`](https://github.com/lucidworks/fusion-cloud-native/raw/refs/heads/master/mcp/fusion-5-17-0.mcpb).

        3. Double-click the downloaded file. The file opens in Claude Desktop, where you can review the file's details.

        4. In Claude Desktop, click **Install**:

                   <Frame>
                     <img src="https://mintcdn.com/lucidworks/t12414MpsD6orb59/assets/images/5.17/claude-desktop-mcpb-install.png?fit=max&auto=format&n=t12414MpsD6orb59&q=85&s=a38e209c609832b6bdc1ae3271d472e7" alt="Claude Desktop prompts you to click Install when you open the MCP bundle file." width="1528" height="642" data-path="assets/images/5.17/claude-desktop-mcpb-install.png" />
                   </Frame>

        5. In the next modal, Claude Desktop prompts you to confirm that you want to install this MCP server.
           Click **Install** to confirm.

        6. Enter your MCP server URL (as in `https://FUSION_HOST/mcp`) and your API key:

                   <Frame>
                     <img src="https://mintcdn.com/lucidworks/t12414MpsD6orb59/assets/images/5.17/claude-desktop-mcpb-install-prompt.png?fit=max&auto=format&n=t12414MpsD6orb59&q=85&s=d19d02312d4abb13599cd19a7a85a034" alt="Claude Desktop prompts you for your Fusion URL and your API key." width="1536" height="1088" data-path="assets/images/5.17/claude-desktop-mcpb-install-prompt.png" />
                   </Frame>

        7. Click **Save**.

        8. Click the **Disabled** switch to toggle it to **Enabled**:

                   <Frame>
                     <img src="https://mintcdn.com/lucidworks/t12414MpsD6orb59/assets/images/5.17/claude-desktop-mcpb-install-enable.png?fit=max&auto=format&n=t12414MpsD6orb59&q=85&s=068e7ec0794414cbdb48326f16f07038" alt="Toggle the Disabled/Enabled switch to enable the feature." width="1532" height="814" data-path="assets/images/5.17/claude-desktop-mcpb-install-enable.png" />
                   </Frame>

        9. Now you can close the Lucidworks Fusion modal in Claude Desktop.

        10. Verify the connection.

        Go to **Customize** > **Connectors** in the Claude Desktop interface to confirm the MCP server is connected.
        Ask Claude to search Fusion, and it should automatically use the Lucidworks MCP tools.
      </Tab>

      <Tab title="Manual JSON Configuration">
        1. Locate the configuration file for your operating system:

           * **macOS:** `~/Library/Application Support/Claude/claude_desktop_config.json`
           * **Windows:** `%APPDATA%\Claude\claude_desktop_config.json`
           * **Linux:** `~/.config/Claude/claude_desktop_config.json`

        2. Edit the file to add the Fusion MCP server:

           ```json theme={"dark"}
            {
              "mcpServers": {
                "fusion": {
                  "command": "docker",
                  "args": [
                    "run", "--rm", "-i", "--name", "mcp-server",
                    "-e", "FUSION_URL=https://FUSION_HOST/mcp",
                    "-e", "FUSION_API_KEY=API_KEY",
                    "lucidworks/mcp-server-stdio:5.17.0"
                  ]
                }
              }
            }
           ```

           Replace the placeholder values with your specific credentials.

        3. Restart Claude Desktop.

        4. Verify the connection.

           Look for the hammer icon (🔨) in the Claude interface to confirm the MCP server is connected.
           Ask Claude to search Fusion, and it should automatically use the `fusion` tool.
      </Tab>
    </Tabs>
  </Accordion>
</AccordionGroup>

### Test the connection

After configuring your AI agent, test the connection with these example prompts.

These prompts verify that the MCP server is working correctly and that Claude can discover and use the configured search experiences.

<Steps>
  <Step title="Retrieve search experiences">
    Test whether Claude can successfully retrieve the configured search experiences from Fusion.

    <Prompt description="What search experiences are available?" actions={["copy"]}>
      Using the Lucidworks MCP's `list_search_experiences` tool, show me all available search experiences in this Fusion instance.
    </Prompt>
  </Step>

  <Step title="Search by name">
    Test whether Claude can identify the correct search experience by name and execute a search query.

    <Prompt description="Search the Product Catalog for wireless headphones" actions={["copy"]}>
      Using the Lucidworks MCP's `search_documents` tool, search the Product Catalog search experience for wireless headphones and return the results.
    </Prompt>
  </Step>

  <Step title="Test multi-experience routing">
    Test multi-experience routing, verifying that Claude can select the appropriate search experience based on the query context.

    <Prompt description="Find recent HR policies in Employee Resources" actions={["copy"]}>
      Using the Lucidworks MCP's `search_documents` tool, search the Employee Resources search experience for recent HR policies and return the results.
    </Prompt>
  </Step>

  <Step title="Match natural language queries">
    Test whether Claude can match natural language queries to search experience descriptions and return relevant results.

    <Prompt description="What information can I find about benefits and time off policies?" actions={["copy"]}>
      Using the Lucidworks MCP's `search_documents` tool, identify the appropriate search experience and search for information about benefits and time off policies, then return the results.
    </Prompt>
  </Step>
</Steps>

## Search with MCP

Lucidworks MCP server provides four tools that work together in a discovery-to-execution pattern.
Claude automatically determines which tool to call based on the user's query.

### List search experiences

The `list_search_experiences` tool discovers available search experiences configured in Fusion.
You can use this tool in the following situations:

* You need to see what search experiences are available.
* You need to determine which search experience to use for a specific query.
* You need to help users who don't know what they can search for.

Claude automatically calls this tool when users ask questions like "What can I search here?" or "What do I find in Fusion?".
The tool returns a list of configured search experiences with their names and descriptions.

This tool takes no parameters.

### Search documents

The `search_documents` tool searches for documents and returns relevant results from Fusion collections.
Based on user input, it automatically selects a search experience and can optionally filter and sort results.

For example, a user can input "Find all reports from the last six months and sort them with the newest ones first" to trigger a query that uses `filters` to specify the document type and date range and `sort` to order the results by date, newest to oldest.

### Get a document

The `get_document` tool fetches a specific document by its ID.
This is useful when `search_documents` has already been called and the user inquires about a specific document returned in those results.

The tool returns complete details about the document, such as its title, description, URL, similar documents (if [MoreLikeThis](/docs/5/fusion/reference/config-ref/pipeline-stages/query-stages/solr-more-like-this-query-stage) is implemented), and highlighted fields (if [highlighting](/docs/5/fusion/reference/config-ref/pipeline-stages/query-stages/highlight-query-stage) is implemented).

### Get the field schema

The `get_schema` tool retrieves available fields within a specific search experience and returns schema information with sortable and searchable capability flags.
You can use this tool in the following situations:

* You need to discover what fields exist within a particular search experience.
* You need to determine which fields can be used for sorting.
* You need to determine which fields can be used for filtering.
* You need to display field information to users with human-readable names.

Claude automatically calls this tool before using the `sort` or `filters` parameters when searching documents, or when users ask questions like "What fields can I sort by?" or "What can I filter by?".
The tool returns field names with their display values and capability flags.

By default, the tool returns only populated fields.
Set `includeEmptyFields=true` to retrieve the complete schema.

### How the tools work together

Claude uses these tools in the following order:

1. When a user asks a question without specifying a search experience, Claude calls `list_search_experiences` to discover available options.
2. Claude analyzes the search experiences and matches them to the user's query intent.
3. Claude calls `search_documents` with the appropriate search experience.
4. Claude returns results to the user.

For example, when a user asks "Find hiking backpacks," Claude automatically completes the following steps:

1. Calls `list_search_experiences` and receives the following data:

   ```json wrap theme={"dark"}
   {
     "searchExperiences": [
       {"name": "Product Catalog", "description": "Outdoor gear and sporting equipment"},
       {"name": "Support Articles", "description": "Product guides, warranties, and care instructions"}
     ]
   }
   ```

2. Identifies the "Product Catalog" search experience as the one that best matches the prompt.

3. Calls `search_documents` with `searchExperience: "Product Catalog"` and the user's query.

4. Returns the product results.

This pattern allows users who know nothing about Fusion's configuration to simply ask questions and get results without needing to understand the underlying structure.

## Example use cases

The following examples demonstrate common MCP integration patterns.

<AccordionGroup>
  <Accordion title="Enterprise knowledge search">
    An employee uses Claude to search internal technical documentation:

    <CodeGroup>
      ```text User query wrap theme={"dark"}
      Find all technical documentation about JWT authentication from the past six months
      ```

      ```json MCP call (automatic) wrap theme={"dark"}
      {
        "method": "tools/call",
        "params": {
          "name": "search_documents",
          "arguments": {
            "searchExperience": "technical_docs",
            "query": "JWT authentication",
            "filters": [
              {"field": "doc_type", "operator": "equals", "value": "technical"},
              {"field": "date", "operator": "relative_date_range", "timeUnit": "MONTHS", "timeValue": 6}
            ],
            "rows": 10
          }
        }
      }
      ```

      ```text Claude output wrap theme={"dark"}
      I found eight technical documents about JWT authentication from the past six months:

      1. **JWT Authentication Best Practices 2026** (Jan 15, 2026)
         This guide covers modern JWT authentication patterns including...
         [View Document](https://docs.company.com/security/jwt-guide)

      2. **Implementing JWT in Node.js** (Feb 2, 2026)
         Step-by-step tutorial for implementing JWT tokens...
         [View Document](...)
      ```
    </CodeGroup>
  </Accordion>

  <Accordion title="Multi-language search">
    A Japanese-speaking employee searches in their native language:

    **User query (Japanese):**

    ```text wrap theme={"dark"}
    認証に関する最新のドキュメントを教えてください
    ```

    Fusion processes the Japanese query, applies language-specific tokenization, and returns results with Japanese snippets.
    Claude displays results in Japanese, maintaining the natural language interaction.
  </Accordion>

  <Accordion title="Response with highlighting and MoreLikeThis">
    If your query pipeline is configured with [highlighting](/docs/5/fusion/reference/config-ref/pipeline-stages/query-stages/highlight-query-stage) or [MoreLikeThis](/docs/5/fusion/reference/config-ref/pipeline-stages/query-stages/solr-more-like-this-query-stage), the MCP server can include those features in its responses:

    ```json Example response wrap theme={"dark"}
    {
      "jsonrpc": "2.0",
      "id": 10,
      "result": {
        "content": [],
        "isError": false,
        "structuredContent": {
          "summary": "Found 3 documents for query: search",
          "documents": [
            {
              "id": "doc-123",
              "title": "Introduction to Search Analytics",
              "url": "https://docs.example.com/search-analytics",
              "moreLikeThis": [
                {
                  "id": "doc-456",
                  "title": "Query Performance Optimization"
                },
                {
                  "id": "doc-789",
                  "title": "Relevance Tuning Best Practices"
                },
                {
                  "id": "doc-321",
                  "title": "Understanding Search Metrics"
                }
              ],
              "highlighting": {
                "title_t": ["Introduction to <em>Search</em> Analytics"],
                "description_t": ["Learn how to analyze and improve your <em>search</em> performance"]
              }
            }
          ],
          "searchExperiences": [],
          "querySpellcheckSuggestions": []
        }
      }
    }
    ```
  </Accordion>
</AccordionGroup>

## Example multi-tenant configurations

Lucidworks MCP server supports multi-tenant architectures where different users or use cases access different data subsets.

<AccordionGroup>
  <Accordion title="Employee vs. contractor access">
    You can configure separate MCP endpoints with different query profiles:

    <CodeGroup>
      ```bash Employee configuration (full access) wrap theme={"dark"}
      claude mcp add --transport http fusion-employee \
          https://FUSION_HOST/mcp \
          --header "x-api-key: EMPLOYEE_KEY"
      ```

      ```bash Contractor configuration (restricted access) wrap theme={"dark"}
      claude mcp add --transport http fusion-contractor \
          https://FUSION_HOST/mcp \
          --header "x-api-key: CONTRACTOR_KEY"
      ```
    </CodeGroup>

    * The employee API key accesses a server with search experiences configured for full access to all collections.
    * The contractor API key accesses a server with search experiences limited to public documentation and shared resources.
  </Accordion>

  <Accordion title="Public vs. authenticated access">
    You can support both public (unauthenticated) and authenticated access patterns:

    <CodeGroup>
      ```json Public kiosk configuration wrap theme={"dark"}
      {
        "mcpServers": {
          "fusion-public": {
            "type": "http",
            "url": "https://FUSION_HOST/mcp",
            "headers": {
              "x-api-key": "PUBLIC_READONLY_KEY"
            }
          }
        }
      }
      ```

      ```json Authenticated employee configuration wrap theme={"dark"}
      {
        "mcpServers": {
          "fusion-internal": {
            "type": "http",
            "url": "https://FUSION_HOST/mcp",
            "headers": {
              "x-api-key": "EMPLOYEE_KEY"
            }
          }
        }
      }
      ```
    </CodeGroup>

    This approach enables use cases like showroom kiosks (public read-only access with search experiences configured for public documents) and internal employee tools (authenticated with search experiences configured for full access and security trimming) using the same Fusion instance.
  </Accordion>
</AccordionGroup>

## Troubleshooting

This section provides solutions for common MCP configuration issues.

<AccordionGroup>
  <Accordion title="Connection failures">
    If you cannot connect to the MCP server, verify the following:

    1. Verify the endpoint is accessible:

       ```bash expandable wrap theme={"dark"}
        curl -X POST https://FUSION_HOST/mcp \
        -H "Content-Type: application/json" \
        -H "Accept: text/event-stream, application/json" \
        -H "x-api-key: API_KEY" \
        -i \
        -d '{
          "jsonrpc": "2.0",
          "id": 1,
          "method": "initialize",
          "params": {
            "protocolVersion": "2025-11-25",
            "capabilities": {},
            "clientInfo": {
              "name": "test-client",
              "version": "1.0.0"
            }
          }
        }'
       ```

           <Note>
             The protocol version in this example (`2025-11-25`) may differ from your installed version. See the [MCP schema specification](https://modelcontextprotocol.io/specification/2025-11-25/schema) for the current version.
           </Note>

       If the endpoint is accessible, it returns output similar to the example below.
       Any other result means that the endpoint is not accessible.

       ```bash expandable wrap theme={"dark"}
       {
        "jsonrpc": "2.0",
        "id": 1,
        "result": {
          "protocolVersion": "2024-11-05",
          "capabilities": {
            "logging": {},
            "prompts": {
              "listChanged": false
            },
            "resources": {
              "subscribe": false,
              "listChanged": true
            },
            "tools": {
              "listChanged": true
            }
          },
          "serverInfo": {
            "name": "Lucidworks MCP Server",
            "version": "1.0.0"
          }
        }
       ```

    }

    ````

    2. Confirm that the Fusion version is 5.17 or later:
     ```bash wrap
     curl https://FUSION_HOST:FUSION_PORT/api/admin/version
    ````

    3. Check the URL path is exactly `/mcp` (no trailing slash, not `/api/mcp`).

    4. Test with verbose logging:
       ```bash wrap theme={"dark"}
       claude mcp test fusion --verbose
       ```
  </Accordion>

  <Accordion title="401 Unauthorized - Invalid API Key">
    1. Regenerate the API key in Fusion Admin (the key may be expired or revoked).
    2. Verify the header format is exactly `x-api-key: API_KEY` (case-sensitive).
    3. Test the key directly against Fusion's API:
       ```bash wrap theme={"dark"}
       curl -H "x-api-key: abc123" https://FUSION_HOST:FUSION_PORT/api/apps/YOUR_APP/query/YOUR_PROFILE
       ```
  </Accordion>

  <Accordion title="403 Forbidden - Query Profile Not Authorized">
    1. Verify the query profile exists in the specified Fusion app.
    2. Check the profile name is an exact match (case-sensitive).
    3. Ensure the API key's role has permission to execute queries on this profile.
  </Accordion>

  <Accordion title="400 Bad Request - Missing Required Header">
    The `x-api-key` header is required for authentication:

    ```bash wrap theme={"dark"}
    claude mcp add --transport http fusion https://FUSION_HOST/mcp --header "x-api-key: API_KEY"
    ```

    Run this command to verify your configuration:

    ```bash wrap theme={"dark"}
    claude mcp list
    ```

    The response should show your MCP URL:

    ```bash wrap theme={"dark"}
    fusion - https://FUSION_HOST/mcp (http)
    ```
  </Accordion>

  <Accordion title="No results returned">
    If searches complete successfully but return no results, try these steps.

    1. Verify the Fusion app contains indexed content:
       ```bash wrap theme={"dark"}
       curl "https://FUSION_HOST:FUSION_PORT/api/apps/YOUR_APP/query/YOUR_PROFILE?q=*:*"
       ```

    2. Check that the query profile has access to the expected collections.

    3. Test the same query directly in Fusion's Query Workbench to confirm results exist.

    4. Review security trimming rules that might filter out documents for the API key's role.
  </Accordion>

  <Accordion title="Slow response times">
    If MCP searches are slow, try these steps.

    1. Check the query profile's pipeline stages for expensive operations.

    2. Review the query complexity (complex filter queries can impact performance).

    3. Monitor Fusion's query logs for slow queries.

    4. Consider optimizing ML model execution or caching strategies.

    5. Verify network latency between Claude and the Fusion instance.
  </Accordion>

  <Accordion title="Server fails to start - No valid search experiences">
    If the Lucidworks MCP server fails to start with an error message about search experiences, follow these steps.

    **Symptom:**

    ```text wrap theme={"dark"}
    ERROR - No valid search experiences configured. Server cannot start without at least one valid search experience.
    Exception in thread "main" java.lang.IllegalStateException: No valid search experiences configured...
    ```

    **Solution:**

    1. Add at least one search experience with all required fields to `values.yaml`:

       ```yaml wrap theme={"dark"}
       query-pipeline:
         searchExperiences:
           - name: "Company Knowledge"                    # Required
             description: "Internal documentation..."    # Required
             application-name: "APP_NAME"         # Required
             query-profile: "default"                    # Required
       ```

    2. Restart the server.

    3. Verify startup logs show: `Found 1 valid search experience(s): [Company Knowledge]`
  </Accordion>

  <Accordion title="Expected search experience doesn't appear in list">
    If `list_search_experiences` returns fewer search experiences than you configured, follow these steps.

    **Solution:**

    1. Check server startup logs for: `INFO - Found N valid search experience(s): [names]`

    2. Compare logged names with your configuration.

    3. Verify all required fields are populated (`name`, `description`, `application-name`, `query-profile`).

    4. Fix configuration and restart.
  </Accordion>

  <Accordion title="Search returns 'Search experience is not configured'">
    If your search query returns an error message about the search experience not being configured, verify the search experience name.

    **Symptom:**

    ```json wrap theme={"dark"}
    {
      "summary": "Search experience is not configured",
      "documents": [],
      "searchExperiences": [...]
    }
    ```

    **Solution:**

    1. Call `list_search_experiences` to get exact names.

    2. Use the exact name (case-sensitive).

    Common mistakes:

    * ❌ "engineering docs" (wrong case)
    * ✅ "Engineering Docs" (exact match)
  </Accordion>

  <Accordion title="Connection errors - Unable to process request">
    If you receive a generic error message about being unable to process the request, verify your Fusion configuration and connectivity.

    **Symptom:**

    ```json wrap theme={"dark"}
    {
      "content": [{"type": "text", "text": "Error: Unable to process request"}],
      "isError": true
    }
    ```

    **Solution:**

    Follow these troubleshooting steps:

    1. Verify Fusion is running and accessible.

    2. Check that `application-name` exists in Fusion (case-sensitive).

    3. Verify `query-profile` exists and is enabled in Fusion.

    4. Check authentication and network connectivity.

    5. Review MCP server logs for detailed error messages.
  </Accordion>

  <Accordion title="Empty search results (No documents found)">
    If your search completes successfully but returns no documents, verify your data and query configuration.

    **Symptom:**

    ```json wrap theme={"dark"}
    {
      "summary": "Found 0 documents",
      "documents": [],
      "searchExperiences": []
    }
    ```

    **Solution:**

    Follow these troubleshooting steps:

    1. Verify documents are indexed in Fusion (check Collections in Fusion UI).

    2. Try omitting the query parameter to return all documents (defaults to `*:*`):

       ```json wrap theme={"dark"}
       {
         "searchExperience": "Company Knowledge"
       }
       ```

    3. Try a broader query.

    4. Test the same query directly in Fusion's Query Workbench.

    5. Verify `application-name` points to the correct Fusion application.

    6. Check query profile settings for permission filters.
  </Accordion>
</AccordionGroup>
