Mcp_server
@hfhfn
About Mcp_server
快速上手MCP
Basic information
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"
]
}
}
}Tools
No tools detected
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
FAQ from Mcp_server
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.
What transport modes are supported?
The service supports stdio, SSE (Server-Sent Events), and streamable HTTP modes.
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.
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.
How do I authenticate with remote MCP services?
The sequentialthinking example uses an Authorization header with a Bearer token in the client configuration.
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