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

# MCP Server

> Documentation for the MCP Server Protocol

The MCP integration provides a bridge between external AI systems and Vectorify's internal query processing capabilities. It exposes Vectorify's search and chat functionality as MCP tools that can be discovered and invoked by MCP-compatible AI assistants.

The `ask_vectorify` tool is the primary MCP interface that allows external systems to query Vectorify. It handles both new conversations and continuation of existing chats.

<Tip>
  Vectorify supports the `2025-03-26` version of the Model Context Protocol.
</Tip>

## Adding Vectorify to VS Code

To add the MCP server to `VS Code`, include the following configuration in your `mcp.json` file:

```json theme={null}
{
  "inputs": [
    {
      "type": "promptString",
      "id": "vectorify_api_key",
      "description": "Vectorify API Key",
      "password": true
    }
  ],
  "servers": {
    "vectorify": {
	  "type": "http",
      "url": "https://mcp.vectorify.ai",
      "headers": {
        "Api-Key": "${input:vectorify_api_key}"
      }
    },
  }
}
```

## Adding Vectorify to Cursor

To add the MCP server to `Cursor`, include the following configuration in your `mcp.json` file:

```json theme={null}
{
  "mcpServers": {
    "vectorify": {
	  "type": "streamable-http",
      "url": "https://mcp.vectorify.ai",
      "headers": {
        "Api-Key": "your_api_key_here"
      }
    }
  }
}
```

## Adding Vectorify to Windsurf

To add the MCP server to `Cursor`, include the following configuration in your `mcp_config.json` file:

```json theme={null}
{
  "mcpServers": {
    "camelai": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.vectorify.ai",
        "--header",
        "Api-Key: your_api_key_here"
      ]
    }
  }
}
```

After saving your configuration, press the refresh button in the `Plugins` section or restart `Windsurf` to load the new MCP server connection.

## Adding Vectorify to Claude

To add the MCP server to `Claude`, include the following configuration in the settings:

```json theme={null}
{
  "mcpServers": {
    "vectorify": {
      "type": "http",
      "url": "https://mcp.vectorify.ai",
      "headers": {
        "Api-Key": "your_api_key_here"
      }
    }
  }
}
```