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MCP Server

@hfhfn

Repository

Basic information

Category

Other

Transports

stdio

Author

hfhfn

About MCP Server

快速上手MCP

MCP Server config

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

{
  "mcpServers": {
    "mcp-server-hfhfn": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "path/to/mcp.py"
      ]
    }
  }
}

MCP Server 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.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp_server?

Mcp_server is a MCP (Model Context Protocol) server configuration reference that demonstrates how to run MCP services using uv/uvx and connect clients via stdio, SSE, or streamable HTTP transports. It provides example configurations for multiple MCP tools such as math, weather, 12306-mcp, sequentialthinking, quickchart-server, and excel-mcp-server.

How to use Mcp_server?

Run the MCP service with uv run --with mcp[cli] mcp run path/to/mcp.py or uvx --with pillow --with mcp[cli] fastmcp run path/to/mcp.py. The service listens on port 8000 by default, offering SSE at /sse and streamable HTTP at /mcp. Configure your MCP client with one of the three transport modes (stdio, SSE, streamable HTTP) and the appropriate URL or command/args.

Key features of Mcp_server

  • Supports uv/uvx for Python environment management
  • Offers SSE and streamable HTTP URL modes
  • Provides configuration examples for multiple MCP tools
  • Supports stdio, SSE, and streamable HTTP transports
  • Includes environment variable configuration for excel-mcp-server
  • Uses Bearer token authentication for remote MCP services

Use cases of Mcp_server

  • Run a local MCP service and connect a client via stdio
  • Access the service from a Docker container using host.docker.internal
  • Configure multiple MCP tools (math, weather, 12306, sequential thinking, charting, Excel) in one client
  • Set environment variables like cache, log path, and retention for an Excel MCP server
  • Connect to remote MCP services using SSE with Bearer token authentication

Frequently asked questions

1

How do I start the MCP service?

Use `uv run --with mcp[cli] mcp run path/to/mcp.py` or `uvx --with pillow --with mcp[cli] fastmcp run path/to/mcp.py`.

2

What transport modes are supported?

The service supports stdio, SSE (Server-Sent Events), and streamable HTTP modes.

3

How do I configure a stdio‑based MCP client?

Use `uv` as the command with `--directory` pointing to the project root and `run main.py` as arguments.

4

Can I set environment variables for MCP tools?

Yes. The excel-mcp-server example shows variables such as `LOG_PATH`, `CACHE_MAX_AGE`, `CACHE_CLEANUP_INTERVAL`, `LOG_RETENTION_DAYS`, and `LOG_CLEANUP_INTERVAL`.

5

How do I authenticate with remote MCP services?

The sequentialthinking example uses an `Authorization` header with a Bearer token in the client configuration.

Comments

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