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MCP Utils

@fulfilio

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

fulfilio

About MCP Utils

Python utilities to work with MCP servers

MCP Utils config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-utils": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "mcp-proxy",
        "--client",
        "claude"
      ]
    }
  }
}

MCP Utils tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is mcp-utils?

mcp-utils is a Python utility package for building Model Context Protocol (MCP) servers, focused on synchronous implementations using Flask. It provides helpers, decorators, and Pydantic models for developers integrating MCP into existing Python applications without asynchronous code.

How to use mcp-utils?

Install with pip install mcp-utils. Create an MCPServer instance, decorate handlers with @mcp.tool() or @mcp.prompt(), and handle incoming requests via mcp.handle_message(). For production, deploy with Flask and Gunicorn.

Key features of mcp-utils

  • Synchronous MCP server implementation
  • Server-Sent Events (SSE) support
  • Simple decorators for tools and prompts
  • HTTP protocol with Streamable HTTP support
  • Redis response queue for message handling
  • Comprehensive Pydantic models for MCP schema
  • Built-in validation and documentation

Use cases of mcp-utils

  • Embedding MCP capabilities into existing Python web applications
  • Building MCP servers with synchronous database transactions (e.g., SQLAlchemy)
  • Deploying MCP servers with Gunicorn for production workloads
  • Prototyping MCP tools and prompts without async complexity

Frequently asked questions

1

What are the runtime dependencies?

Python 3.10+ and Pydantic 2 are required. Flask, Gunicorn, and Redis are optional for web server, production deployment, and response queuing respectively.

2

Does mcp-utils support asynchronous code?

No, mcp-utils is explicitly designed for synchronous implementations. For async MCP servers, consider the MCP Python SDK.

3

How do I connect Claude Desktop to an mcp-utils server?

Claude Desktop does not natively support SSE/HTTP; use `mcp-proxy` (installable via PyPI or Smithery) to bridge stdio with the server's SSE endpoint.

4

Can I use mcp-utils with Flask for production?

Yes, the README provides Flask examples with Streamable HTTP and optional SQLAlchemy transaction handling, plus a Gunicorn deployment example.

5

How can I test my MCP server built with mcp-utils?

Use the MCP Inspector (`npm install -g @modelcontextprotocol/inspector`) to open a web interface, point it to your server’s SSE URL, and send test messages.

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