Build Agents With Needle Mcp Server Introduction In this guide, we will explore how to build agents using the Needle MCP server. This process will help you create efficient and scalable agents for your applications. Prerequisites - Basic knowledge of server management - Access to a Needle MCP server - Necessary permissions to create agents Steps to Build Agents Step 1: Access the Needle MCP Server Log in to your Needle MCP server using your credentials. Step 2: Create a New Agent Navigate to the agents section and select the option to create a new agent. Fill in the required details such as agent name, type, and configuration settings. Step 3: Configure Agent Settings Adjust the settings for your agent according to your requirements. This may include setting up resource limits, environment variables, and other configurations. Step 4: Deploy the Agent Once you have configured the agent, deploy it to the server. Monitor the deployment process to ensure everything is functioning correctly. Step 5: Test the Agent After deployment, run tests to verify that the agent operates as expected. Check for any errors or issues that may arise during testing. Step 6: Monitor and Maintain Regularly monitor the performance of your agents and perform maintenance as needed. This includes updating configurations and addressing any issues that may occur. Conclusion Building agents with the Needle MCP server is a straightforward process that can enhance your application's performance. Follow the steps outlined in this guide to create and manage your agents effectively.
Overview
What is Needle-MCP?
Needle-MCP is an innovative integration of the Needle framework within the Model Context Protocol (MCP). This repository serves as a public resource for developers and researchers interested in leveraging the capabilities of Needle in their projects. The Needle framework is designed to enhance model performance and streamline the development process, making it a valuable tool for machine learning and AI applications.
Features of Needle-MCP
- Seamless Integration: Needle-MCP allows for easy integration of the Needle framework into existing projects, facilitating a smoother workflow for developers.
- Enhanced Performance: By utilizing Needle, users can expect improved model performance, leading to more accurate predictions and better overall results.
- Public Repository: Being a public repository, Needle-MCP encourages collaboration and contributions from the community, fostering innovation and shared knowledge.
- Documentation and Support: Comprehensive documentation is available to guide users through the installation and usage of Needle-MCP, ensuring that developers can quickly get started.
How to Use Needle-MCP
- Clone the Repository: Start by cloning the Needle-MCP repository to your local machine using Git.
git clone https://github.com/needle-ai/needle-mcp.git
- Install Dependencies: Navigate to the cloned directory and install the necessary dependencies.
cd needle-mcp pip install -r requirements.txt
- Integrate with Your Model: Follow the provided documentation to integrate Needle into your model context. This may involve modifying your model code to utilize Needle's features effectively.
- Run Your Model: After integration, run your model as usual, and observe the performance improvements facilitated by Needle.
Frequently Asked Questions
What is the purpose of Needle-MCP?
Needle-MCP aims to provide developers with a robust framework for enhancing model performance through the integration of Needle within the Model Context Protocol.
Is Needle-MCP suitable for all types of models?
Yes, Needle-MCP is designed to be versatile and can be integrated with various types of machine learning models, making it suitable for a wide range of applications.
How can I contribute to Needle-MCP?
Contributions are welcome! You can contribute by submitting issues, feature requests, or pull requests on the GitHub repository. Collaboration is encouraged to improve the framework further.
Where can I find the documentation for Needle-MCP?
Documentation is available within the repository itself, typically in a docs
folder or as a README file. It provides detailed instructions on installation, usage, and examples.
What license does Needle-MCP use?
Needle-MCP is licensed under the MIT License, allowing for both personal and commercial use, provided that proper attribution is given.
Details
Build Agents with Needle MCP Server
MCP (Model Context Protocol) server to manage documents and perform searches using Needle through Claude’s Desktop Application.
<a href="https://glama.ai/mcp/servers/5jw1t7hur2"> <img width="380" height="200" src="https://glama.ai/mcp/servers/5jw1t7hur2/badge" alt="Needle Server MCP server" /> </a>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.
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:
- Open Claude Desktop and connect to the Needle MCP Server.
- Use simple text commands to search, retrieve, or modify documents.
- 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
Installing via Smithery
To install Needle MCP for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install needle-mcp --client claude
Manual Installation
- Clone the repository:
git clone https://github.com/yourusername/needle-mcp.git
- Install UV globally using Homebrew in Terminal:
brew install uv
-
Create claude_desktop_config.json:
- For MacOS: Open directory
~/Library/Application Support/Claude/
and create the file inside it - For Windows: Open directory
%APPDATA%/Claude/
and create the file inside it
- For MacOS: Open directory
-
Add this configuration to claude_desktop_config.json:
{
"mcpServers": {
"needle_mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/needle-mcp",
"run",
"needle-mcp"
],
"env": {
"NEEDLE_API_KEY": "your_needle_api_key"
}
}
}
}
-
Get your Needle API key from needle.xyz
-
Update the config file:
- Replace
/path/to/needle-mcp
with your actual repository path - Add your Needle API key
- Replace
-
Quit Claude completely and reopen it
Usage Examples
- "Create a new collection called 'Technical Docs'"
- "Add this document to the collection, which is https://needle-ai.com"
- "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 withbrew 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:
- Find all Claude Desktop config files:
find / -name "claude_desktop_config.json" 2>/dev/null
- Remove all Claude Desktop data:
- On MacOS:
rm -rf ~/Library/Application\ Support/Claude/*
- On Windows: Delete contents of
%APPDATA%/Claude/
- 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_mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/needle-mcp",
"run",
"needle-mcp"
],
"env": {
"NEEDLE_API_KEY": "your_needle_api_key"
}
}
}
}
EOL
-
Completely quit Claude Desktop (Command+Q on Mac) and relaunch it
-
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
Server Config
{
"mcpServers": {
"needle-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--needle-ai--needle-mcp--needle-mcp",
"needle-mcp"
],
"env": {
"NEEDLE_API_KEY": "needle-api-key"
}
}
}
}