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needle-mcp

一个允许用户通过Claude桌面应用程序使用Needle管理文档并进行由Claude驱动的搜索的服务器。

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README

Build Agents with Needle MCP Server

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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.

Needle Server MCP server

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

1. Remote MCP Server (Recommended)

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
{
  "mcpServers": {
    "needle": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.needle.app/mcp",
        "--header",
        "Authorization:Bearer ${NEEDLE_API_KEY}"
      ],
      "env": {
        "NEEDLE_API_KEY": "<your-needle-api-key>"
      }
    }
  }
}

Cursor Config

Create or update .cursor/mcp.json:

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

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:
git clone https://github.com/needle-ai/needle-mcp.git
  1. Install UV globally using Homebrew:
brew install uv
  1. Create your config file:
    • For MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • For Windows: %APPDATA%/Claude/claude_desktop_config.json

Claude Desktop Config

{
  "mcpServers": {
    "needle": {
      "command": "uv",
      "args": ["--directory", "/path/to/needle-mcp", "run", "needle-mcp"],
      "env": {
        "NEEDLE_API_KEY": "<your-needle-api-key>"
      }
    }
  }
}

Cursor Config

{
  "mcpServers": {
    "needle": {
      "command": "uv",
      "args": ["--directory", "/path/to/needle-mcp", "run", "needle-mcp"],
      "env": {
        "NEEDLE_API_KEY": "<your-needle-api-key>"
      }
    }
  }
}
  1. Replace /path/to/needle-mcp with your actual repository path
  2. Add your Needle API key
  3. Restart Claude Desktop

Installing via Smithery

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

3. Docker Installation

  1. Clone and build:
git clone https://github.com/needle-ai/needle-mcp.git
cd needle-mcp
docker build -t needle-mcp .
  1. Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
  "mcpServers": {
    "needle": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "needle-mcp"],
      "env": {
        "NEEDLE_API_KEY": "<your-needle-api-key>"
      }
    }
  }
}
  1. 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:
find / -name "claude_desktop_config.json" 2>/dev/null
  1. Remove all Claude Desktop data:
  • On MacOS: rm -rf ~/Library/Application\ Support/Claude/*
  • On Windows: Delete contents of %APPDATA%/Claude/
  1. Create a fresh config with only Needle:
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
  1. Completely quit Claude Desktop (Command+Q on Mac) and relaunch it

  2. 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
help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client