MCP-DBLP

MCP-DBLP

By szeider GitHub

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

Overview

what is MCP-DBLP?

MCP-DBLP is a Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database, enabling Large Language Models (LLMs) to interact with academic publications.

how to use MCP-DBLP?

To use MCP-DBLP, install an MCP-compatible client, clone the repository, set up a virtual environment, and configure the server with the necessary settings. You can then use various tools to search and retrieve publications.

key features of MCP-DBLP?

  • Comprehensive search capabilities 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 capability for maximum accuracy

use cases of MCP-DBLP?

  1. Searching for academic publications using complex queries.
  2. Retrieving publication details for specific authors.
  3. Exporting bibliographic data in BibTeX format for academic writing.

FAQ from MCP-DBLP?

  • What is the purpose of MCP-DBLP?

It provides a way for LLMs to access and utilize the DBLP database for academic research.

  • Is MCP-DBLP free to use?

Yes, it is open-source and available under the MIT License.

  • What are the system requirements?

You need Python 3.11 or higher and an MCP-compatible client.

Overview

what is MCP-DBLP?

MCP-DBLP is a Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database, enabling Large Language Models (LLMs) to interact with academic publications.

how to use MCP-DBLP?

To use MCP-DBLP, install an MCP-compatible client, clone the repository, set up a virtual environment, and configure the server with the necessary settings. You can then use various tools to search and retrieve publications.

key features of MCP-DBLP?

  • Comprehensive search capabilities 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 capability for maximum accuracy

use cases of MCP-DBLP?

  1. Searching for academic publications using complex queries.
  2. Retrieving publication details for specific authors.
  3. Exporting bibliographic data in BibTeX format for academic writing.

FAQ from MCP-DBLP?

  • What is the purpose of MCP-DBLP?

It provides a way for LLMs to access and utilize the DBLP database for academic research.

  • Is MCP-DBLP free to use?

Yes, it is open-source and available under the MIT License.

  • What are the system requirements?

You need Python 3.11 or higher and an MCP-compatible client.

No tools information available.
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