MCP-Proxy

What is MCP-Proxy?

MCP-Proxy is an implementation of a Model Context Protocol (MCP) proxy server and client toolset designed to simplify interactions with MCP servers and provide a unified way to access multiple MCP servers.

How to use MCP-Proxy?

To use MCP-Proxy, you can run the proxy server using the command python mcp_proxy.py and manage MCP servers with the client tool mcp_client.py. You can also call specific tools using mcp_tool.py with appropriate arguments.

Key features of MCP-Proxy?

• MCP proxy server that integrates multiple MCP server tools into a unified interface.
• Client tools for managing and querying MCP servers.
• Support for calling various tools provided by MCP servers.
• Configuration management through JSON files.

Use cases of MCP-Proxy?

1. Developing AI applications that require access to various external tools and resources.
2. Integrating into IDEs like Cursor that need to access multiple MCP server tools.
3. Automating workflows that require combining multiple tools.

FAQ from MCP-Proxy?

• What is the purpose of MCP-Proxy?

MCP-Proxy simplifies the interaction with multiple MCP servers by providing a unified interface and toolset.

• How do I install MCP-Proxy?

You can install it using pip with the command pip install -e . after cloning the repository.

• Can I add more MCP servers?

Yes! You can configure additional MCP servers in the mcp.json configuration file.