What are the system requirements for MCP-DBLP?
Python 3.11+ and uv (the Python package installer) are required. Installation is handled via `uvx` or by cloning the repository and running from source.
@szeider
Basic information
A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-dblp": {
"command": "uv",
"args": [
"venv",
"&&",
"source",
".venv/bin/activate"
]
}
}
}Get usage instructions and workflow guidance
Search DBLP for publications using boolean queries
Search publications with fuzzy title matching
Retrieve publications for a specific author
Get detailed information about a publication venue
Add a BibTeX entry to collection by DBLP key
Export all collected BibTeX entries to a .bib file
MCP-DBLP is a Model Context Protocol (MCP) server that gives Large Language Models access to the DBLP computer science bibliography database. It integrates the DBLP API with LLMs, enabling AI models to search academic publications, process citations, generate BibTeX entries, and perform fuzzy matching on titles and author names.
Install via uvx mcp-dblp and configure in Claude Desktop (add to claude_desktop_config.json) or Claude Code (claude mcp add mcp-dblp -- uvx mcp-dblp). Alternatively, run from source after cloning the repository. Available tools include search, fuzzy_title_search, get_author_publications, get_venue_info, add_bibtex_entry, and export_bibtex.
Python 3.11+ and uv (the Python package installer) are required. Installation is handled via `uvx` or by cloning the repository and running from source.
BibTeX entries are fetched directly from DBLP with a 10-second timeout protection and are not processed, modified, or hallucinated by the LLM. Only the citation key is replaced as specified by the user.
It provides `search`, `fuzzy_title_search`, `get_author_publications`, `get_venue_info`, `add_bibtex_entry`, `export_bibtex`, and `get_instructions` for workflow guidance.
No authentication or API key is mentioned in the README. The server accesses the public DBLP API directly.
MCP-DBLP uses the standard stdio transport for Model Context Protocol servers, running as a subprocess via the configured command.

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