"dblp" matching MCP servers:

Enables searching DBLP authors and venues, providing author details like affiliation and ORCID. Facilitates access to computer science bibliography data through natural language queries.

Wraps yt-dlp to enable MCP-compatible clients to look up video metadata and download videos.

Enables AI agents to inspect, plan, download, and postprocess media from YouTube and other sites using yt-dlp, with safety and full option support.

Provides AI assistants with read-only access to inspect database schemas, preview data, and run safe queries across PostgreSQL, MySQL, MongoDB, and SQL Server. It enables AI tools to understand database structures and relationships automatically to generate more accurate code.

Enables searching and retrieving academic papers from arXiv and DBLP databases with advanced filtering options. Supports downloading PDFs and provides detailed paper information including titles, authors, abstracts, and publication dates.

Connects 'yt-dlp' with LLMs via the Model Context Protocol, allowing users to download YouTube content and integrate it with Dive and other MCP-compatible LLMs.