Back to Browse

Mcp MCP Server

Developer ToolsUse Caution2.1MCP RegistryRemote
Free

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

2.1
Use Caution2.1Critical Risk

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

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

Unverified package source

We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.

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 GitHub

From 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.

ToolWhen to use
spacefrontiers_search_documentsPapers, books, patents, standards, Wikipedia, YouTube transcripts. Use for citations and prior art.
spacefrontiers_search_socialReddit, Telegram channels, Discord. Use for news and community discussion.
spacefrontiers_fetch_documentBounded full text + up to 50 references for one canonical URI. Defaults to 40K characters; supports up to 100K.
spacefrontiers_search_in_documentUp 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 > 0 on 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.pydeep_research_agent prompt.
  • resources.pyspacefrontiers://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 outputSchema is 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

Reviews

No reviews yet

Be the first to review this server!