An MCP server that provides access to the DBLP computer science bibliography for LLMs.
Connect MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. An MCP server that provides access to the DBLP computer science bibliography for LLMs. The mcp mcp server is what makes that connection.
A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models (accompanying paper accepted to AI4SC @ AAAI-26).
The MCP-DBLP integrates the DBLP (Digital Bibliography & Library Project) API with LLMs through the Model Context Protocol, enabling AI models to:
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
get_instructions — Get usage instructions and workflow guidancesearch — Search DBLP for publications using boolean queriesfuzzy_title_search — Search publications with fuzzy title matchingget_author_publications — Retrieve publications for a specific authorget_venue_info — Get detailed information about a publication venueadd_bibtex_entry — Add a BibTeX entry to collection by DBLP keyexport_bibtex — Export all collected BibTeX entries to a .bib fileInstallation goes through your MCP client rather than a global install: point it at mcp-dblp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP's toolset — get_instructions, search, fuzzy_title_search and 4 more — is a fair guide to whether it matches your workflow.
This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| get_instructions | Get usage instructions and workflow guidance |
| search | Search DBLP for publications using boolean queries |
| fuzzy_title_search | Search publications with fuzzy title matching |
| get_author_publications | Retrieve publications for a specific author |
| get_venue_info | Get detailed information about a publication venue |
| add_bibtex_entry | Add a BibTeX entry to collection by DBLP key |
| export_bibtex | Export all collected BibTeX entries to a .bib file |
{
"mcpServers": {
"mcp-dblp": {
"command": "uv",
"args": ["--directory", "/path/to/mcp-dblp/", "run", "mcp-dblp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.