Stellaris Teacher MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Stellaris Teacher MCPexplain how orbital habitats work in Stellaris"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Stellaris Teacher MCP
Personal MCP server by Ibrahim Sabri Örene for offline-first game knowledge retrieval. Zero runtime dependencies; Node.js 18+; stdio transport.
Capabilities
BM25-ranked knowledge search, page and section access, glossary lookup, UI-label mapping, learning paths, ingestion queues and optional timestamped video retrieval. stellaris_explain combines useful context for a teaching assistant.
node server.js
node test/smoke.jsRegister node /absolute/path/to/mcp-stellaris/server.js with your MCP client. Set STELLARIS_KB_DIR to the desired writable knowledge directory. Without it, storage defaults to a sibling .kb directory.
Related MCP server: loci-mcp
Build your own knowledge base
The public repository includes authored term mappings and source code, not a downloaded wiki or video corpus. An empty KB is expected on first run. Use stellaris_queue_add, stellaris_queue_next and stellaris_kb_add_page to ingest material you are permitted to use. Live HTTP access can be blocked by the wiki's browser challenge; the tool reports that limitation.
The original smoke test runs against a throwaway KB with synthetic examples. It does not use your personal corpus.
Stellaris and its wiki are third-party works. This repository is an independent tool and does not redistribute their article bodies or full video transcripts. Retrieved material retains its source rights and attribution. The project package declares MIT; see LICENSE.
This server cannot be deployed
Maintenance
Related MCP Connectors
Cited, versioned knowledge for agents: retrieve sourced passages and propose owner-approved fixes.
Search, read, cite, create, and safely update a user's private KeepFlash knowledge library.
Ingest, manage, and retrieve documents for RAG-powered AI applications
Versioned documentation registry and semantic search for AI tools and coding assistants.
Related MCP Servers
- FlicenseAqualityCmaintenanceEnables LLM agents to search and retrieve a hybrid knowledge base of manuals, videos, PDFs, DOCX files and images through tools for hybrid BM25-plus-vector search with facet and tag filters, full document retrieval, semantically similar document lookup, and timestamped video transcript segments. It ships with an in-memory backend for instant local use and an identical Elasticsearch backend for production deployment over stdio or authenticated HTTP.5-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP hosts to query locally indexed notes, docs, chat logs, and other files via hybrid vector/BM25 retrieval with section-level citations. Exposes tools, resources, and prompts for searching and asking over the indexed content.-
- FlicenseNot gradedqualityAmaintenanceEnables AI hosts and agents to search, ask, and retrieve cited sections from a locally indexed collection of notes, documents, PDFs, web pages, org files, and chat logs using hybrid vector and BM25 retrieval.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and MCP-compatible hosts to search, ask, and retrieve section-level citations from scattered local notes, docs, PDFs, Word files, web pages, org files, and chat logs using hybrid vector and BM25 retrieval.-