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exa-servidor
Servidor MCP de búsqueda de código con IA utilizando API EXA para la búsqueda y recuperación de código inteligente en asistentes de IA
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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
- Clone this repository:
git clone https://github.com/it-beard/exo-server.git
cd exa-server
- Install dependencies:
npm install
- Build the project:
npm run build
- 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
- Make your changes in the
src
directory - Build the project:
npm run build
- Test your changes by configuring the server in your MCP settings
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
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Espejo dehttps: //github.com/agentience/practices_mcp_server
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Reviews

user_sXA7kQGy
PubMed Analysis MCP Server by Darkroaster is a game-changer for researchers. Its user-friendly interface and powerful features streamline PubMed data analysis, making it incredibly efficient. The seamless integration and robust performance save time and enhance productivity. Highly recommended for anyone involved in medical and scientific research!