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by SpaceFrontiers • Search & Retrieval
An MCP server that exposes Space Frontiers search and document tools so language models can semantically search, resolve, and fetch metadata and filtered content from multiple Space Frontiers data sources.
Perform semantic search across scholarly literature, wikis, forums, and video transcripts to find relevant documents and snippets.
Convert DOIs, ISBNs, URLs, or other identifiers into standardized URIs with source information for downstream retrieval.
Fast metadata (title, authors, abstract, references) or filtered document snippets matching a query for summarization or question answering.
This project implements a Model Context Protocol (MCP) server using FastMCP to bridge language models with the Space Frontiers API. It offers four core tools: semantic search across multiple sources, identifier resolution to standardized URIs, document metadata retrieval, and filtered document content retrieval by query. The server can be self-hosted or accessed via the publicly hosted endpoint and supports API key authentication. It's designed to let agents discover relevant documents, resolve identifiers, and fetch only the snippets relevant to their queries for efficient reasoning.
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