exa-mcp-server

🥇Gold

Exa MCP Server is a powerful tool for web search and crawling, designed to enhance code discovery and retrieval. Built with TypeScript, it uses the Model Context Protocol (MCP) to streamline web searches, making it ideal for developers and researchers alike.

4,0152850Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~90 min per use

Quick InstallView Source

claude install exa-labs/exa-mcp-server

Works with:

GitHub CopilotVS Code

Overview

About This Skill

https://docs.exa.ai/reference/exa-mcp

How to Use

["1. **Define Your Search Criteria**: Clearly specify the programming language, specific functionality, and minimum star rating for the repositories you are interested in. This will help the Exa MCP Server narrow down the search results to the most relevant and high-quality examples.","2. **Use the Prompt Template**: Copy the provided prompt template and fill in the placeholders with your specific criteria. For example, you might search for 'Python' as the programming language, 'real-time data streaming' as the specific functionality, and '4' as the minimum star rating.","3. **Run the Search**: Paste the completed prompt into the Exa MCP Server and execute the search. The tool will scan the web for repositories that match your criteria and return a summary of the top results.","4. **Review the Results**: Carefully review the summary of the top 3 results provided by the Exa MCP Server. Pay attention to the repository name, author, and brief description of the implementation to determine which examples are most relevant to your needs.","5. **Explore Further**: For the most promising results, visit the repositories directly to explore the code in more detail. Look for documentation, unit tests, and other indicators of code quality and maintainability."]

Use Cases

Automate code search across multiple repositories to quickly find relevant examples.

Enhance web scraping capabilities for efficient data collection from various sources.

Integrate with development tools to improve code accessibility and streamline workflows.

Facilitate research by indexing and retrieving web content effectively.

Best For

GrowthResearch

Setup & Installation

Quick Install

Terminal

claude install exa-labs/exa-mcp-server

Alternative Install (Git Clone)

git clone https://github.com/exa-labs/exa-mcp-server

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot, VS Code

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the Exa MCP Server to search for code examples related to [PROGRAMMING_LANGUAGE] that implement [SPECIFIC_FUNCTIONALITY]. Focus on repositories with a star rating above [MINIMUM_STARS]. Provide a summary of the top 3 results, including the repository name, author, and a brief description of the implementation.

Example Output

Based on your request, here are the top 3 code examples for implementing real-time data streaming in Python:

1. **Repository**: real-time-data-streaming
   **Author**: data_streamer
   **Description**: This project demonstrates how to use Python's asyncio library to handle real-time data streams. It includes a comprehensive example of a WebSocket server that processes and broadcasts data to multiple clients. The repository has 4.5 stars and is well-documented with clear examples.

2. **Repository**: live-data-processing
   **Author**: live_data_pro
   **Description**: This repository focuses on processing live data streams using Python. It provides a detailed implementation of a Kafka consumer and producer, along with examples of how to handle data transformations and storage. The project has 4.2 stars and includes unit tests for all major components.

3. **Repository**: streaming-analytics
   **Author**: analytics_pro
   **Description**: This project offers a complete solution for real-time analytics using Python. It includes examples of how to integrate with various data sources, perform real-time analytics, and visualize the results. The repository has 4.7 stars and is actively maintained with regular updates.