Citable research retrieval for AI agents across papers, books, patents, Wikipedia, and public discussions.
- ✓Open-source license (MIT)
- ✓Recently active
- ✓Clear description
- ✓Mature repo (>1y old)
claude mcp add mcp -- uvx mcp{
"mcpServers": {
"mcp": {
"command": "uvx",
"args": ["mcp"],
"env": {
"SPACE_FRONTIERS_API_KEY": "<space_frontiers_api_key>"
}
}
}
}SPACE_FRONTIERS_API_KEYResumen de MCP Servers
# Space Frontiers MCP Server
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.spacefrontiers.org/** (Streamable HTTP transport, OAuth 2.1 with PKCE or Bearer API key).
<a href="https://glama.ai/mcp/servers/@SpaceFrontiers/mcp">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@SpaceFrontiers/mcp/badge" alt="Space Frontiers MCP" />
</a>
## Tools
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` | 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](https://spacefrontiers.org/mcp) with one-click links for Cursor, VS Code, and Smithery.
### Claude Code (recommended)
```sh
claude mcp add --transport http --scope user spacefrontiers https://mcp.spacefrontiers.org
```
On first use a browser opens for OAuth login — no API key paste required.
### Cursor / VS Code / Cline / Windsurf (HTTP)
```json
{
"mcpServers": {
"spacefrontiers": {
"type": "http",
"url": "https://mcp.spacefrontiers.org",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
```
Get an API key at https://spacefrontiers.org/keys.
### Self-hosted (stdio)
```sh
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
```
The environment variable is used as the upstream API credential in stdio mode.
## 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://spacefrontiers.org/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_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.
## 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
```sh
uv sync
uv run pytest
uv run ruff check .
```
mcp-name: io.github.SpaceFrontiers/mcp
## License
MIT
Lo que la gente pregunta sobre mcp
¿Qué es SpaceFrontiers/mcp?
+
SpaceFrontiers/mcp es mcp servers para el ecosistema de Claude AI. Citable research retrieval for AI agents across papers, books, patents, Wikipedia, and public discussions. Tiene 11 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala mcp?
+
Puedes instalar mcp clonando el repositorio (https://github.com/SpaceFrontiers/mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar SpaceFrontiers/mcp?
+
Nuestro agente de seguridad ha analizado SpaceFrontiers/mcp y le ha asignado un Trust Score de 79/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene SpaceFrontiers/mcp?
+
SpaceFrontiers/mcp es mantenido por SpaceFrontiers. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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