MCP Servers

@nationalteam

About MCP Servers

No overview available yet

Config

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

{
  "mcpServers": {
    "mcp-servers-nationalteam": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

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 Servers?

MCP Servers is a tool for managing and running MCP (Model Context Protocol) servers via a bot, providing a template-based system for adding new servers.

How to use MCP Servers?

Install uv (e.g., pipx install uv), then run uv sync to install the package. Start the bot with uv run mcpservers. To add a new server, copy the servers/templatemcp directory, rename it, and register it in pyproject.toml and mcpservers.cli.

Key features of MCP Servers?

Template-based server addition
Workspace management with uv
CLI bot execution
Support for multiple servers in workspace

Use cases of MCP Servers?

Quickly scaffolding and integrating new MCP servers
Running a unified bot that serves multiple MCP servers
Managing MCP server code and dependencies in a monorepo

FAQ from MCP Servers

How do I install MCP Servers?

Install uv, then run uv sync in the project directory to install dependencies.

How do I run the MCP Servers bot?

Execute uv run mcpservers from the project root.

How can I add a new MCP server?

Copy the servers/templatemcp directory, rename it, add it to uv.workspace.members in pyproject.toml, and register it in mcpservers.cli.

What are the runtime dependencies?

Python, uv, and any packages specified in the server’s workspace configuration.

Frequently asked questions

How do I install MCP Servers?

Install uv, then run `uv sync` in the project directory to install dependencies.

How do I run the MCP Servers bot?

Execute `uv run mcpservers` from the project root.

How can I add a new MCP server?

Copy the `servers/templatemcp` directory, rename it, add it to `uv.workspace.members` in `pyproject.toml`, and register it in `mcpservers.cli`.

What are the runtime dependencies?

Python, uv, and any packages specified in the server’s workspace configuration.

Comments

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