MCP-DBLP

Name: MCP-DBLP
Author: szeider

@szeider

About MCP-DBLP

A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models.

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-dblp": {
      "command": "uv",
      "args": [
        "venv",
        "&&",
        "source",
        ".venv/bin/activate"
      ]
    }
  }
}

Tools

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

Overview

What is MCP-DBLP?

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.

How to use MCP-DBLP?

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.

Key features of MCP-DBLP

Comprehensive publication search with boolean queries
Fuzzy title and author name matching
Direct BibTeX entry retrieval from DBLP
Publication filtering by year and venue
Statistical analysis of publication data
Direct BibTeX export bypassing LLM processing

Use cases of MCP-DBLP

Search DBLP for publications using complex boolean queries
Retrieve and export BibTeX entries for academic papers
Find publications by author with fuzzy name matching
Collect and manage references from embedded citations in documents
Filter publications by year, venue, or title similarity

FAQ from MCP-DBLP

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.

How does MCP-DBLP ensure BibTeX accuracy?

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.

What tools does MCP-DBLP provide?

It provides search, fuzzy_title_search, get_author_publications, get_venue_info, add_bibtex_entry, export_bibtex, and get_instructions for workflow guidance.

Does MCP-DBLP require any authentication or API key?

No authentication or API key is mentioned in the README. The server accesses the public DBLP API directly.

What transport does MCP-DBLP use?

MCP-DBLP uses the standard stdio transport for Model Context Protocol servers, running as a subprocess via the configured command.

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