Machine Library by Space Frontiers: retrieval across papers, books, patents, and social sources.
io.github.SpaceFrontiers/mcp β Space Frontiers MCP Server
This MCP server provides a retrieval layer for AI agents that returns bounded full text plus canonical source URIs for citation. It supports peer-reviewed papers, books, patents, standards, and also social sources including Wikipedia, Reddit, Telegram, Discord, and YouTube.
π οΈ Key Features
Retrieval across papers, books, patents, standards, Wikipedia, Reddit, Telegram, Discord, and YouTube
Machine Library is the search and AI product by Space Frontiers Company.
Existing accounts, API keys, and spacefrontiers_* tool names remain compatible.
The original https://mcp.spacefrontiers.org endpoint is still supported.
A retrieval layer for AI agents over peer-reviewed papers, books, patents, standards, Wikipedia, Reddit, Telegram, Discord, and YouTube. Returns bounded full text and canonical source URIs for citation.
The four core retrieval tools below are read-only, idempotent, and prefixed spacefrontiers_ to avoid collisions in multi-server agent setups. The hosted service may expose additional tools; inspect its current tools/list. In particular, the optional spacefrontiers_top_up_balance capability purchases prepaid credits and is not a read-only retrieval tool.
Tool
When to use
spacefrontiers_search_documents
Papers, books, patents, standards, Wikipedia, YouTube transcripts. Use for citations and prior art.
spacefrontiers_search_social
Reddit, Telegram channels, Discord. Use for news and community discussion.
spacefrontiers_fetch_document
Bounded full text + up to 50 references for one canonical URI. Defaults to 40K characters; supports up to 100K.
spacefrontiers_search_in_document
Up to five matching passages within one document. Use for documents over ~20K tokens.
Search defaults to 10 compact, hybrid-ranked results and is capped at 30. Every hit includes a canonical source_uri, one snippet (up to 900 characters), an abstract preview (up to 800 characters), score, authors, date, type, and estimated full-text size. Citation backlinks are opt-in on spacefrontiers_fetch_document because they add another billed search.
Install
The hosted server has its own /mcp install page with one-click links for Cursor, VS Code, and Smithery.
Claude Code (recommended)
sh
claude mcp add --transport http --scope user spacefrontiers https://mcp.machinelibrary.ai
On first use a browser opens for OAuth login β no API key paste required.
git clone https://github.com/SpaceFrontiers/mcp.git
cd mcp
uv sync
SEARCH_API_ENDPOINT=https://api.machinelibrary.ai \
SPACE_FRONTIERS_API_KEY=sf_live_xxx uv run fastmcp run mcp_server.py
The environment variable is used as the upstream API credential in stdio mode.
The command selects the public Machine Library API with SEARCH_API_ENDPOINT.
The internal default remains http://search-api for existing deployments.
For HTTP deployments, set SEARCH_API_ENDPOINT to your trusted internal
search API and USERS_API_ENDPOINT to your internal users API; the auth
middleware forwards verified identity headers to that internal service.
OAuth retains the compatible authorization-server issuer at
https://api.spacefrontiers.org; browser sign-in for the new product uses
https://machinelibrary.ai with the same accounts.
Pricing
Search: $0.01 base + $0.001 per returned result (the 10-result MCP default costs $0.02).
Full document fetch: $0.05.
In-document passage search: $0.015.
referenced_by_limit > 0 on a fetch adds a separately billed search.