The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Space Frontiers MCP Server listing page.
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.
Hosted at https://mcp.machinelibrary.ai/ (Streamable HTTP transport, OAuth 2.1 with PKCE or Bearer API key).
Try a worked example: Find research, inspect supporting passages, and retain citations. Includes exact tool calls and observations from a live run, plus a small evaluation checklist for research teams.
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.
The hosted server has its own /mcp install page with one-click links for Cursor, VS Code, and Smithery.
On first use a browser opens for OAuth login — no API key paste required.
Get an API key at https://machinelibrary.ai/keys.
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.
referenced_by_limit > 0 on a fetch adds a separately billed search.Add credits at https://machinelibrary.ai/payments.
mcp_server.py — Starlette + FastMCP entrypoint, OAuth well-known endpoints.tools.py — four tools with Pydantic output schemas.prompts.py — deep_research_agent prompt.resources.py — spacefrontiers://document/{uri_b64} URI template.auth.py — Bearer-token validation, Origin allowlist, MCP-Protocol-Version check.client.py — async HTTP client for the v2 search API.server.json — Official MCP Registry entry.smithery.yaml — Smithery deployment config.registry.json — in-house registry metadata.tests/ — pytest unit tests.readOnlyHint, idempotentHint, openWorldHint, destructiveHint:false.outputSchema is auto-generated from a Pydantic return model.2025-03-26, 2025-06-18, 2025-11-25.mcp-name: io.github.SpaceFrontiers/mcp
MIT