Context7 MCP Server

This is the Context7 MCP Server, designed to integrate with the Context7 system and provide LLM capabilities through the Model Context Protocol (MCP). This server enables seamless integration with popular IDEs and coding assistants.

Features

• MCP Protocol Support: Full Model Context Protocol implementation for IDE integration

• Multi-IDE Compatibility: Works with Cursor, Claude Desktop, Windsurf, and more

• Universal LLM Integration: Supports multiple LLM providers (Gemini, OpenAI, etc.)

• Code Analysis Tools: Built-in tools for code analysis, generation, and debugging

• Context Management: Advanced context gathering and formatting

• Reasoning Strategies: Dynamic reasoning modes for different use cases

Related MCP server: VSCode Language Server MCP Extension

IDE Integration

Cursor IDE

1. Install the server:

   cd TesterBud
   npm install
   npm run build

2. Configure in Cursor:

   • Open Cursor Settings → MCP

   • Add new MCP server:

   {
     "mcpServers": {
       "context7": {
         "command": "node",
         "args": ["/absolute/path/to/TesterBud/dist/mcp-server.js"],
         "env": {
           "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
         }
       }
     }
   }

Claude Desktop

1. Copy configuration:

   cp claude_desktop_config.json ~/Library/Application\ Support/Claude/claude_desktop_config.json
   # On Windows: copy to %APPDATA%/Claude/claude_desktop_config.json
   # On Linux: copy to ~/.config/Claude/claude_desktop_config.json

2. Edit the configuration with your actual paths and API key.

Windsurf

1. Add to Windsurf settings:

   {
     "mcp_servers": {
       "context7": {
         "command": "node",
         "args": ["/absolute/path/to/TesterBud/dist/mcp-server.js"],
         "env": {
           "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
         }
       }
     }
   }

Generic MCP Client

Use the .mcp.json configuration file provided in the root directory as a template for any MCP-compatible client.

Available Tools

The server provides the following MCP tools:

• analyze_code: Analyze code for patterns, issues, and improvements

• generate_code: Generate code based on requirements

• debug_code: Debug code issues and provide solutions

• get_context: Get relevant context and documentation

Setup

1. Clone the repository:

   git clone <repository-url>
   cd TesterBud

2. Install dependencies:

   npm install

3. Configure environment variables: Copy .env.example to .env and fill in your API keys:

   cp .env.example .env

   Edit .env:

   GEMINI_API_KEY=YOUR_GEMINI_API_KEY

Running the Server

MCP Mode (for IDE integration)

# Development
npm run mcp:dev

# Production
npm run build
npm run mcp

HTTP API Mode (for web applications)

# Development
npm run dev

# Production
npm run build
npm start

Docker

docker-compose up --build

Testing the MCP Server

Test with MCP Inspector

npm install -g @modelcontextprotocol/inspector
mcp-inspector node dist/mcp-server.js

Test with curl (HTTP mode)

curl -X POST http://localhost:3000/mcp/create-session \
  -H "Content-Type: application/json" \
  -d '{"userId": "test-user"}'

Deployment

Refer to render.yaml for Render deployment configuration. Deployment scripts for GCP and Docker are available in the deploy/ directory.

Configuration Files

• .mcp.json: Generic MCP configuration template

• claude_desktop_config.json: Claude Desktop specific configuration

• render.yaml: Render deployment configuration

• docker-compose.yml: Docker deployment configuration