MCP-DBLP

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

Feedback

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System Requirements

• Python 3.11+
• uv

Installation

1. Install an MCP-compatible client (e.g., Claude Desktop app)
2. Install the MCP-DBLP:

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

3. Create the configuration file: For macOS/Linux:

~/Library/Application/Support/Claude/claude_desktop_config.json

For Windows:

%APPDATA%\Claude\claude_desktop_config.json

Add the following content:

{
  "mcpServers": {
    "mcp-dblp": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/mcp-dblp/",
        "run",
        "mcp-dblp",
        "--exportdir",
        "/absolute/path/to/bibtex/export/folder/"
      ]
    }
  }
}

Disclaimer

This MCP-DBLP is in its prototype stage and should be used with caution. Users are encouraged to experiment, but any use in critical environments is at their own risk.