Server data from the Official MCP Registry
Machine Library by Space Frontiers: retrieval across papers, books, patents, and social sources.
About
Machine Library by Space Frontiers: retrieval across papers, books, patents, and social sources.
Remote endpoints: streamable-http: https://mcp.machinelibrary.ai/
Security Report
Valid MCP server (0 strong, 4 medium validity signals). 12 known CVEs in dependencies (0 critical, 5 high severity) Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 13 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
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Unverified package source
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How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-spacefrontiers-mcp": {
"url": "https://mcp.machinelibrary.ai/"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Machine Library MCP Server
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.
Tools
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)
claude mcp add --transport http --scope user spacefrontiers https://mcp.machinelibrary.ai
On first use a browser opens for OAuth login — no API key paste required.
Cursor / VS Code / Cline / Windsurf (HTTP)
{
"mcpServers": {
"spacefrontiers": {
"type": "http",
"url": "https://mcp.machinelibrary.ai",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Get an API key at https://machinelibrary.ai/keys.
Self-hosted (stdio)
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 > 0on a fetch adds a separately billed search.
Add credits at https://machinelibrary.ai/payments.
Repository layout
mcp_server.py— Starlette + FastMCP entrypoint, OAuth well-known endpoints.tools.py— four tools with Pydantic output schemas.prompts.py—deep_research_agentprompt.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.
Spec compliance
- Transport: Streamable HTTP, stateless.
- Auth: OAuth 2.1 with RFC 7591 Dynamic Client Registration; long-lived API keys also accepted.
- Annotations: every tool declares
readOnlyHint,idempotentHint,openWorldHint,destructiveHint:false. - Output schemas: every tool's
outputSchemais auto-generated from a Pydantic return model. - Resources: one URI template registered for documents.
- Spec versions accepted:
2025-03-26,2025-06-18,2025-11-25.
Development
uv sync
uv run pytest
uv run ruff check .
mcp-name: io.github.SpaceFrontiers/mcp
License
MIT
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