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Needle MCP Server for easy RAG.Long-term memory for LLMs.

102 stars PythonOthers Updated Aug 20, 2026
aimcpmodelcontextprotocolragsemantic-search

Documentation

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Screenshot of Feature - Claude

MCP (Model Context Protocol) server to manage documents and perform searches using Needle through Claude's Desktop Application.

Table of Contents


Overview

Needle MCP Server allows you to:

  • Organize and store documents for quick retrieval.
  • Perform powerful searches via Claude's large language model.
  • Integrate seamlessly with the Needle ecosystem for advanced document management.

MCP (Model Context Protocol) standardizes the way LLMs connect to external data sources. You can use Needle MCP Server to easily enable semantic search tools in your AI applications, making data buried in PDFs, DOCX, XLSX, and other files instantly accessible by LLMs.

We recommend using our remote MCP server for the best experience - no local setup required.


Features

  • Document Management: Easily add and organize documents on the server.
  • Search & Retrieval: Claude-based natural language search for quick answers.
  • Easy Integration: Works with Claude Desktop and Needle collections.

Usage

Commands in Claude Desktop

Below is an example of how the commands can be used in Claude Desktop to interact with the server:

Using commands in Claude Desktop

1. Open Claude Desktop and connect to the Needle MCP Server.

2. Use simple text commands to search, retrieve, or modify documents.

3. Review search results returned by Claude in a user-friendly interface.

Result in Needle

https://github.com/user-attachments/assets/0235e893-af96-4920-8364-1e86f73b3e6c


Youtube Video Explanation

For a full walkthrough on using the Needle MCP Server with Claude and Claude Desktop, watch this YouTube explanation video.


Installation

Claude Desktop Config

Create or update your config file:

  • For MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
  • For Windows: `%APPDATA%/Claude/claude_desktop_config.json`
json
{
  "mcpServers": {
    "needle": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.needle.app/mcp",
        "--header",
        "Authorization:Bearer ${NEEDLE_API_KEY}"
      ],
      "env": {
        "NEEDLE_API_KEY": ""
      }
    }
  }
}

Cursor Config

Create or update `.cursor/mcp.json`:

json
{
  "mcpServers": {
    "needle": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.needle.app/mcp",
        "--header",
        "Authorization:${NEEDLE_AUTH_HEADER}"
      ],
      "env": {
        "NEEDLE_AUTH_HEADER": "Bearer "
      }
    }
  }
}

Get your API key from Needle Settings.

We provide two endpoints:

  • Streamable HTTP: `https://mcp.needle.app/mcp` (recommended)
  • SSE: `https://mcp.needle.app/sse`

Note: MCP deprecated SSE endpoints in the latest specification, so newer clients should prefer the Streamable HTTP endpoint.

2. Local Installation

1. Clone the repository:

bash
git clone https://github.com/needle-ai/needle-mcp.git

2. Install UV globally using Homebrew:

bash
brew install uv

3. Create your config file:

    Claude Desktop Config

    json
    {
      "mcpServers": {
        "needle": {
          "command": "uv",
          "args": ["--directory", "/path/to/needle-mcp", "run", "needle-mcp"],
          "env": {
            "NEEDLE_API_KEY": ""
          }
        }
      }
    }

    Cursor Config

    json
    {
      "mcpServers": {
        "needle": {
          "command": "uv",
          "args": ["--directory", "/path/to/needle-mcp", "run", "needle-mcp"],
          "env": {
            "NEEDLE_API_KEY": ""
          }
        }
      }
    }

    4. Replace `/path/to/needle-mcp` with your actual repository path

    5. Add your Needle API key

    6. Restart Claude Desktop

    Installing via Smithery

    bash
    npx -y @smithery/cli install needle-mcp --client claude

    3. Docker Installation

    1. Clone and build:

    bash
    git clone https://github.com/needle-ai/needle-mcp.git
    cd needle-mcp
    docker build -t needle-mcp .

    2. Add to your Claude Desktop config (`~/Library/Application Support/Claude/claude_desktop_config.json`):

    json
    {
      "mcpServers": {
        "needle": {
          "command": "docker",
          "args": ["run", "--rm", "-i", "needle-mcp"],
          "env": {
            "NEEDLE_API_KEY": ""
          }
        }
      }
    }

    3. Restart Claude Desktop

    Usage Examples

    • "Create a new collection called 'Technical Docs'"
    • "Add this document to the collection, which is https://needle.app"
    • "Search the collection for information about AI"
    • "List all my collections"

    Troubleshooting

    If not working:

    • Make sure `uv` is installed globally (if not, uninstall with `pip uninstall uv` and reinstall with `brew install uv`)
    • Or find `uv` path with `which uv` and replace `"command": "uv"` with the full path
    • Verify your Needle API key is correct
    • Check if the needle-mcp path in config matches your actual repository location

    Reset Claude Desktop Configuration

    If you're seeing old configurations or the integration isn't working:

    1. Find all Claude Desktop config files:

    bash
    find / -name "claude_desktop_config.json" 2>/dev/null

    2. Remove all Claude Desktop data:

    • On MacOS: `rm -rf ~/Library/Application\ Support/Claude/*`
    • On Windows: Delete contents of `%APPDATA%/Claude/`

    3. Create a fresh config with only Needle:

    code
    mkdir -p ~/Library/Application\ Support/Claude
    cat > ~/Library/Application\ Support/Claude/claude_desktop_config.json
    << 'EOL'
    {
      "mcpServers": {
        "needle": {
          "command": "uv",
          "args": [
            "--directory",
            "/path/to/needle-mcp",
            "run",
            "needle-mcp"
          ],
          "env": {
            "NEEDLE_API_KEY": "your_needle_api_key"
          }
        }
      }
    }
    EOL

    4. Completely quit Claude Desktop (Command+Q on Mac) and relaunch it

    5. If you still see old configurations:

    • Check for additional config files in other locations
    • Try clearing browser cache if using web version
    • Verify the config file is being read from the correct location

    Frequently asked questions

    What is needle-mcp?

    needle-mcp is Needle MCP Server for easy RAG.Long-term memory for LLMs.

    How do I install needle-mcp?

    Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

    Is needle-mcp open source?

    Yes — it is hosted on GitHub at https://github.com/needle-ai/needle-mcp and has 102 stars.

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