An MCP server that provides access to the DBLP computer science bibliography for LLMs.
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# MCP-DBLP [](https://modelcontextprotocol.io/) [](https://opensource.org/licenses/MIT) [](https://www.python.org/) A Model Context Protocol (MCP) server that gives Large Language Models access to the DBLP computer science bibliography (accompanying paper published at [AI4SC @ AAAI-26](https://www.tib-op.org/ojs/index.php/ocp/article/view/3161/3236)). <a href="https://glama.ai/mcp/servers/cm42scf3iv"> <img width="380" height="200" src="https://glama.ai/mcp/servers/cm42scf3iv/badge" alt="MCP-DBLP MCP server" /> </a> ## Overview MCP-DBLP lets an LLM search DBLP through the Model Context Protocol and build a BibTeX file from the results. The model chooses the papers and the citation keys; the server writes the entries from DBLP's data, so the model never rewrites bibliographic fields. Since version 2.0, MCP-DBLP works from a local copy of DBLP instead of the dblp.org web API, which now blocks automated clients. On first start the server downloads the local index, a prebuilt SQLite index of the monthly DBLP dump (about 1.3 GB, see [The local DBLP index](#the-local-dblp-index)). After that, all searches run locally, without rate limits. ## Features - Boolean search with `and` and `or` (no parentheses), filtered by year and venue - Fuzzy matching of titles and author names - Author-aware ranking: each search result names the query words that matched an author, the title, or the venue, and marks prefix-only matches - BibTeX in DBLP's own format, rendered from DBLP's data; it matches the `.bib` export on dblp.org except for the time of day in the `timestamp` field, and titles also brace words with inner capitals (`{CaDiCaL}`, `{DRUP}-based`) so that bibliography styles do not lowercase them - Export of the collected entries to a `.bib` file, written by the s…
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