What algorithms does TSP MCP Server use?
Dynamic Programming (Held‑Karp) for ≤10 cities (guaranteed optimal), and Nearest Neighbor + 2‑opt heuristic for larger instances (high‑quality solutions).
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Basic information
A Model Context Protocol server for solving Traveling Salesman Problem (TSP)
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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TSP MCP Server is a Model Context Protocol server for solving the Traveling Salesman Problem (TSP). It provides optimized algorithms to find the shortest route through a set of cities and integrates with Claude Desktop for natural language interactions.
Install via npm or GitHub, then configure Claude Desktop by editing its claude_desktop_config.json to point to the server’s built dist/index.js. After restarting Claude Desktop, you can ask natural language questions like “Solve TSP for cities at (0,0), (1,1), (2,0).”
Dynamic Programming (Held‑Karp) for ≤10 cities (guaranteed optimal), and Nearest Neighbor + 2‑opt heuristic for larger instances (high‑quality solutions).
Node.js version 18 or higher and npm or yarn are required. The server is designed for use with the Claude Desktop application.
All data (city coordinates, routes) is processed locally – the server runs on your machine and does not send data externally.
It uses the Model Context Protocol’s tool‑based transport. Communication happens via JSON‑RPC over standard I/O.
No authentication or API keys are mentioned in the README.
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