M

Mcphub Trw

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.
2.5 points
38

What is MCPHub?

MCPHub is an embedded Model Context Protocol (MCP) solution for AI services. It allows developers to easily configure, set up, and manage MCP servers in applications, supporting multiple popular AI frameworks such as OpenAI Agents, LangChain, and Autogen.

How to use MCPHub?

Through simple configuration files and code integration, you can quickly start and run the MCP server to leverage its powerful toolset.

Applicable scenarios

MCPHub is suitable for AI applications that require complex task analysis, multi - step decision support, and tool integration.

Main Features

Embedded MCP server supportSupports direct integration and management of MCP servers in applications.
Cross - framework compatibilityCompatible with multiple popular AI frameworks, including OpenAI Agents, LangChain, and Autogen.
Flexible configurationDefine server parameters through JSON configuration files, supporting environment variables.
Automatic installation and managementAutomatically handle server cloning, dependency installation, and initialization.
Tool cache optimizationCache the tool list to improve performance.

Advantages and Limitations

Advantages
Simple and easy - to - use JSON configuration file
Support for multiple AI frameworks
Automatic installation and management tools
High - performance tool cache
Limitations
Requires Python and Node.js environments
Some advanced features may require additional configuration

How to Use

Install MCPHub
Install MCPHub and its dependencies using pip.
Configure the server
Create a.mcphub.json file in the project root directory and add server configuration.
Initialize MCPHub
Use MCPHub to load the configuration and get the server instance.
Run tasks
Execute complex tasks through the server.

Usage Examples

Complex task analysisUse MCPHub to perform complex analysis of the balance between privacy and data collection.
Tool list retrievalGet the list of available tools on the MCP server.

Frequently Asked Questions

How to install MCPHub?
How to configure the server?
Which frameworks does MCPHub support?

Related Resources

Official Documentation
Detailed usage guide and API reference.
GitHub Repository
Source code and example code.
Example tutorial video
Quick - start video.
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
        "sequential-thinking-mcp": {
            "package_name": "smithery-ai/server-sequential-thinking",
            "command": "npx",
            "args": [
                "-y",
                "@smithery/cli@latest",
                "run",
                "@smithery-ai/server-sequential-thinking"
            ]
        }
    }
}

{
    "mcpServers": {
        // TypeScript-based MCP server using NPX
        "sequential-thinking-mcp": {
            "package_name": "smithery-ai/server-sequential-thinking",  // NPM package name
            "command": "npx",                                         // Command to run server
            "args": [                                                // Command arguments
                "-y",
                "@smithery/cli@latest",
                "run",
                "@smithery-ai/server-sequential-thinking"
            ]
        },
        // Python-based MCP server from GitHub
        "azure-storage-mcp": {
            "package_name": "mashriram/azure_mcp_server",            // Package identifier
            "repo_url": "https://github.com/mashriram/azure_mcp_server", // GitHub repository
            "command": "uv",                                         // Python package manager
            "args": ["run", "mcp_server_azure_cmd"],                // Run command
            "setup_script": "uv pip install -e .",                  // Installation script
            "env": {                                                // Environment variables
                "AZURE_STORAGE_CONNECTION_STRING": "${AZURE_STORAGE_CONNECTION_STRING}",
                "AZURE_STORAGE_CONTAINER_NAME": "${AZURE_STORAGE_CONTAINER_NAME}",
                "AZURE_STORAGE_BLOB_NAME": "${AZURE_STORAGE_BLOB_NAME}"
            }
        }
    }
}
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