MCP-DBLP

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).

Overview

The MCP-DBLP integrates the DBLP (Digital Bibliography & Library Project) API with LLMs through the Model Context Protocol, enabling AI models to:

• Search and retrieve academic publications from the DBLP database
• Process citations and generate BibTeX entries
• Perform fuzzy matching on publication titles and author names
• Extract and format bibliographic information
• Process embedded references in documents
• Direct BibTeX export that bypasses LLM processing for maximum accuracy

Features

• Comprehensive search capabilities with boolean queries
• Fuzzy title and author name matching
• BibTeX entry retrieval directly from DBLP
• Publication filtering by year and venue
• Statistical analysis of publication data
• Direct BibTeX export capability that bypasses LLM processing for maximum accuracy

Available Tools

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System Requirements

• Python 3.11+
• uv

Installation

Claude Code

Simply run:

claude mcp add mcp-dblp -- uvx mcp-dblp

Claude Desktop

Add to your Claude Desktop configuration file:

• macOS/Linux: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mcp-dblp": {
      "command": "uvx",
      "args": ["mcp-dblp"]
    }
  }
}

From Source (Development)

git clone https://github.com/szeider/mcp-dblp.git
cd mcp-dblp
uv venv && source .venv/bin/activate
uv pip install -e .

Then configure Claude Desktop with:

{
  "mcpServers": {
    "mcp-dblp": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-dblp/", "run", "mcp-dblp"]
    }
  }
}

Instructions

Usage instructions are available via the get_instructions tool. Key workflow points are shown in the tool description; call the tool for complete details. See also instructions_prompt.md.

Tool Details

search

Search DBLP for publications using a boolean query string.

Parameters:

• query (string, required): A query string that may include boolean operators 'and' and 'or' (case-insensitive)
• max_results (number, optional): Maximum number of publications to return. Default is 10
• year_from (number, optional): Lower bound for publication year
• year_to (number, o

... View full README on GitHub