Server data from the Official MCP Registry
Full-text retrieval: papers, books, patents, Wikipedia, Reddit, Telegram, YouTube. With citations.
Full-text retrieval: papers, books, patents, Wikipedia, Reddit, Telegram, YouTube. With citations.
Remote endpoints: streamable-http: https://mcp.spacefrontiers.org/
This is a well-structured MCP server for academic/social document retrieval with proper authentication, clear permission scoping, and good code quality. The server implements OAuth 2.1 and API key authentication, enforces read-only operations, and includes comprehensive input validation through Pydantic schemas. No malicious patterns or dangerous vulnerabilities detected. Supply chain analysis found 12 known vulnerabilities in dependencies (0 critical, 6 high severity).
5 files analyzed · 16 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A retrieval layer for AI agents over peer-reviewed papers, books, patents, Wikipedia, Reddit, Telegram, and YouTube. Returns full text and canonical source URIs for citation.
Hosted at https://mcp.spacefrontiers.org/ (Streamable HTTP transport, OAuth 2.1 with PKCE or Bearer API key).
All four tools are read-only, idempotent, and prefixed spacefrontiers_ to avoid collisions in multi-server agent setups.
| Tool | When to use |
|---|---|
spacefrontiers_search_documents | Peer-reviewed papers, books, patents, Wikipedia. Use for citations and prior art. |
spacefrontiers_search_social | Reddit, Telegram channels, YouTube transcripts. Use for news and community discussion. |
spacefrontiers_fetch_document | Full text + references for one canonical URI (DOI, arXiv, PMID, ISBN). |
spacefrontiers_search_in_document | Passages within one document by query. Use for documents over ~20K tokens. |
Every search hit includes source_uri, score, snippet, authors, issued_date, and content_size_tokens for typed parsing and citation.
The hosted server has its own /mcp install page with one-click links for Cursor, VS Code, and Smithery.
claude mcp add --transport http spacefrontiers https://mcp.spacefrontiers.org
On first use a browser opens for OAuth login — no API key paste required.
{
"mcpServers": {
"spacefrontiers": {
"url": "https://mcp.spacefrontiers.org",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Get an API key at https://spacefrontiers.org/keys.
git clone https://github.com/SpaceFrontiers/mcp.git
cd mcp
uv sync
SPACE_FRONTIERS_API_KEY=sf_live_xxx uv run fastmcp run mcp_server.py
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.uv sync
uv run pytest
uv run ruff check .
mcp-name: io.github.SpaceFrontiers/mcp
MIT
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