Add MCP server for AI assistant integration#212
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Adds a standalone MCP (Model Context Protocol) server under mcp/ that exposes SatisfactoryTools game data and production planning to AI assistants such as Claude, ChatGPT, Cursor, Windsurf, and others. Tools provided: - search_items, get_item, get_item_recipes, get_item_usages - search_recipes, get_recipe - search_buildings, get_building - search_schematics, get_schematic - get_raw_resources - calculate_production (calls the solver API) - read_sft_file / write_sft_file (.sft save file round-trip) Published to npm as satisfactory-tools-mcp. Game data is bundled into the build artifact so no local data files are required at runtime.
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Summary
Adds a standalone MCP (Model Context Protocol) server under
mcp/that lets AI assistants query SatisfactoryTools game data and run production calculations without a browser.calculate_production).sftsave files for exchanging production setups (read_sft_file/write_sft_file)mcp/README.mdHow it works
The server is a standalone Node.js/TypeScript package under
mcp/. It reads the existingdata/*.jsonfiles directly — no changes to the web app or its build pipeline.Build uses esbuild to bundle everything (including game data) into a single
dist/index.js. Requires Node 18+ at runtime.npm publishing assumption
The README and user-facing setup instructions assume this package is published to npm as
satisfactory-tools-mcp, so users can install vianpx -y satisfactory-tools-mcpwithout cloning the repo.This publishing step is not automated yet. Before merging, someone with npm publish rights would need to either:
cd mcp && npm run build && npm publish), orUntil the package is on npm, users can still use the server by cloning the repo and pointing directly at the built file:
Developer setup
cd mcp npm install npm run build