MCP Vector Search Server

A Go-based server for vector search functionality using Pinecone and OpenAI.

Setup

1. Environment Variables

Copy the example environment file and configure your API keys:

# Copy the example environment file
cp env.example .env

# Edit the .env file with your actual API keys
nano .env

Your .env file should contain the following variables:

# Server Configuration
PORT=8081
JWT_SECRET=your-jwt-secret-key-here

# Pinecone Configuration (Required)
PINECONE_API_KEY=your-pinecone-api-key-here
PINECONE_ENVIRONMENT=your-pinecone-environment
PINECONE_INDEX_NAME=your-pinecone-index-name
PINECONE_HOST=your-pinecone-host-url

# OpenAI Configuration (Required)
OPENAI_API_KEY=your-openai-api-key-here

# GitHub OAuth Configuration (Optional for development)
GITHUB_CLIENT_ID=your-github-client-id
GITHUB_CLIENT_SECRET=your-github-client-secret
GITHUB_OAUTH_REDIRECT_URL=http://localhost:8081/auth/callback

# MCP Configuration (Optional)
MCP_SECRET_TOKEN=your-mcp-secret-token-here

⚠️ Important: Never commit your .env file to version control. It's already added to .gitignore to prevent accidental commits.

2. Required API Keys

You need to obtain the following API keys:

1. Pinecone API Key:

   • Sign up at Pinecone
   • Create an index and get your API key
   • Set PINECONE_API_KEY, PINECONE_INDEX_NAME, and PINECONE_HOST

2. OpenAI API Key:

   • Sign up at OpenAI
   • Get your API key from the dashboard
   • Set OPENAI_API_KEY

3. Running the Application

# Install dependencies
go mod tidy

# Run the application
go run main.go

The server will start on port 8081 (or the port specified in your .env file).

API Endpoints

• Health check: GET /health
• Search: POST /search
• Index: POST /index
• Authentication endpoints: /auth/*

Development

For development, you can set dummy values for optional fields, but PINECONE_API_KEY and OPENAI_API_KEY are required for the application to start.