npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@mcpflow.io/mcp-exa-mcp-server

v1.0.1

Published

使用 Exa API 的 AI 动力代码搜索 MCP 服务器,用于在 AI 助手中进行智能代码搜索和检索。

Readme

Exa MCP Server

此包由 MCPFlow 打包并发布到npm仓库。

使用 Exa API 的 AI 动力代码搜索 MCP 服务器,用于在 AI 助手中进行智能代码搜索和检索。

安装与使用

直接使用npx运行:

npx @mcpflow.io/mcp-exa-mcp-server

或者先安装后使用:

# 安装
npm install @mcpflow.io/mcp-exa-mcp-server

# 使用
npx @mcpflow.io/mcp-exa-mcp-server

使用方法

Installation

  1. Clone this repository:
git clone https://github.com/it-beard/exo-server.git
cd exa-server
  1. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Configure your Exa API key in the MCP settings file (tested with Cline):
{
  "mcpServers": {
    "exa": {
      "command": "node",
      "args": ["/path/to/exa-server/build/index.js"],
      "env": {
        "EXA_API_KEY": "your-api-key-here"
      }
    }
  }
}

工具函数

search

参数:

原始信息

原始README

Exa MCP Server

An MCP (Model Context Protocol) server that provides AI-powered code search capabilities using the Exa API.

Features

  • Perform AI-powered code searches using natural language queries
  • Get relevant code examples and documentation
  • Configurable number of search results
  • JSON response format with rich metadata

Installation

  1. Clone this repository:
git clone https://github.com/it-beard/exo-server.git
cd exa-server
  1. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Configure your Exa API key in the MCP settings file (tested with Cline):
{
  "mcpServers": {
    "exa": {
      "command": "node",
      "args": ["/path/to/exa-server/build/index.js"],
      "env": {
        "EXA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Usage

The server provides the following tools and resources:

Tools

search

Perform an AI-powered search using Exa API

Input Schema:

{
  "query": "Search query",
  "numResults": 10
}

Resources

  • exa://search/{query} - Search results for a specific query
  • exa://last-search/result - Results from the most recent search query

Development

  1. Make your changes in the src directory
  2. Build the project:
npm run build
  1. Test your changes by configuring the server in your MCP settings

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.