{"type":"mcp_server","name":"mcp-server","description":"This repository provides the MCP Server, enabling AI assistants to safely utilize external tools like Python and web access. It enhances data processing and error handling, empowering bots to solve problems effectively.","category":"AI","language":"Python","stars":3,"forks":0,"owner":"tcpipuk","github_url":"https://github.com/tcpipuk/mcp-server","homepage":null,"setup":"## Setup\n\n**Using Docker (recommended)**\n\n1.  Install Docker if you haven't already.\n2.  Create a file called `docker-compose.yml` with the provided configuration.\n3.  Run `docker compose up` to start the server.\n\n**Running locally**\n\n1.  Install `uv` (requires Python 3.13+).\n2.  Create and activate a virtual environment.\n3.  Install dependencies from the lockfile using `uv sync`.\n4.  Run the server using the command `mcp-server --sse-host 0.0.0.0 --sse-port 3001 --user-agent \"CustomAgent/1.0\"`.","tools":"## Available Tools\n\n 1. Python (Run Python code safely in a sandbox, including popular packages for data analysis, and can either run code or check it for errors.)\n 2. Web (Access websites and process their content, converting pages to markdown, getting raw content, or extracting links.)","faq":null,"created_at":"2025-02-21T11:00:00+00:00","updated_at":"2025-02-23T22:00:50+00:00","source_url":"https://model-context-protocol.com/servers/mcp-server-model-context-protocol-tools","related_articles":[]}