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    Exa Server

    AI-powered code search MCP server using Exa API for intelligent code search and retrieval in AI assistants

    2 stars
    JavaScript
    Updated Dec 14, 2024
    ai-assistant
    code-intelligence
    code-search
    developer-tools
    exa-api
    mcp-server
    model-context-protocol
    typescript

    Table of Contents

    • Features
    • Installation
    • Usage
    • Tools
    • search
    • Resources
    • Development
    • Contributing
    • License

    Table of Contents

    • Features
    • Installation
    • Usage
    • Tools
    • search
    • Resources
    • Development
    • Contributing
    • License

    Documentation

    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:

    bash
    git clone https://github.com/it-beard/exo-server.git
    cd exa-server

    2. Install dependencies:

    bash
    npm install

    3. Build the project:

    bash
    npm run build

    4. Configure your Exa API key in the MCP settings file (tested with Cline):

    json
    {
      "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:

    json
    {
      "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:

    bash
    npm run build

    3. 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.

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