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Overview

MCP Hub is the central server component of the MCP system, responsible for managing AI model contexts, tools, and resources. It provides RESTful APIs for integration and handles the orchestration of tools and contexts.

Installation

The server will start on http://localhost:3000 by default.

Configuration

Basic Configuration

Create a configuration file or use environment variables:

Server Configuration

MCP Hub supports various server types that can be configured:

API Endpoints

Session Management

Tool Operations

Integration Example

Here’s a basic example of using MCP Hub:

Available Tools

MCP Hub comes with several built-in tools:
  1. Filesystem Operations
    • read_file
    • write_file
    • list_directory
    • delete_file
  2. Search Operations
    • brave_search
    • web_search
  3. GitHub Integration
    • github_search
    • github_content

Security Considerations

  1. API Key Authentication
    • Always use API keys for authentication
    • Rotate keys regularly
    • Store keys securely
  2. Path Security
    • Only allow access to specified directories
    • Validate all file paths
    • Prevent directory traversal attacks
  3. RBAC Integration
    • Enable RBAC when using with MCP Enterprise
    • Configure appropriate permissions
    • Regular audit of access patterns

Monitoring

MCP Hub provides several endpoints for monitoring:

Common Issues and Solutions

  1. Connection Issues
    • Verify the server is running
    • Check port availability
    • Confirm network settings
  2. Tool Execution Errors
    • Verify tool configuration
    • Check permissions
    • Review tool logs
  3. Performance Issues
    • Monitor resource usage
    • Implement rate limiting
    • Configure caching

Best Practices

  1. Tool Management
    • Register tools with specific versions
    • Implement proper error handling
    • Monitor tool performance
  2. Security
    • Use HTTPS in production
    • Implement rate limiting
    • Regular security audits
  3. Integration
    • Use connection pooling
    • Implement retry logic
    • Handle errors gracefully