How to Upload Your Own MCP Server to Context7
Learn how to deploy and configure your custom MCP server on Context7 platform
Context7 is a platform that allows you to deploy and manage MCP (Model Context Protocol) servers. This guide will walk you through the process of uploading your custom FeatBit MCP server to Context7, making it accessible for AI assistants and development tools.
Context7 Account
Active account with deployment permissions
MCP Server Code
Your custom FeatBit MCP server implementation
Docker Knowledge
Basic understanding of containerization
Git Repository
Source code hosted on GitHub or similar
Server Structure:
featbit-mcp-server/ āāā src/ ā āāā server.ts ā āāā tools/ ā āāā types/ āāā package.json āāā Dockerfile āāā README.md
Configuration Requirements
Ensure your server exposes the correct ports and implements the MCP protocol correctly.
Create a context7.yml file in your project root:
name: featbit-mcp-server
version: 1.0.0
runtime: node18
port: 3000
build:
commands:
- npm install
- npm run build
deploy:
type: mcp-server
protocol: stdio
timeout: 30s
environment:
FEATBIT_API_KEY: ${FEATBIT_API_KEY}
MCP_PROTOCOL: stdioVia Web Interface
- Login to Context7 dashboard
- Navigate to "MCP Servers"
- Click "Upload New Server"
- Upload your project files
- Configure environment variables
Via CLI
context7 logincontext7 deployAfter deployment, test your MCP server to ensure it's functioning properly:
Testing Checklist:
- Server responds to health checks
- MCP protocol implementation works
- FeatBit API integration functional
- Environment variables configured
Deployment Fails
Check your context7.yml configuration and ensure all dependencies are properly specified.
Server Not Responding
Verify that your server is listening on the correct port and implementing the MCP protocol correctly.
Authentication Issues
Ensure your FeatBit API key is properly configured in the environment variables.
Integration
Connect your deployed MCP server with AI assistants and development tools.
Monitoring
Set up monitoring and logging to track your server's performance and usage.