"dblp" matching MCP servers:

A Model Context Protocol server that provides access to the DBLP computer science bibliography database, allowing AI models to search publications, process citations, and generate accurate BibTeX entries.

Automatically enriches BibTeX citations with missing metadata (DOI, venue, etc.) from arXiv, DBLP, and CrossRef via an MCP server for AI assistants.

Searches academic references from arXiv, DBLP, Semantic Scholar, and OpenAlex concurrently and generates BibTeX citations.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

Enables video metadata extraction and downloading from platforms like TikTok and YouTube via yt-dlp, including direct MP4 links and local downloads with MP3 conversion.

Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_file, redact_file and detokenize.

A data-loss-prevention (DLP) layer for AI agents that intercepts document reads, scans for sensitive data, and redacts or blocks it before it reaches the model, with audit logging.

Enables AI assistants to extract YouTube video metadata, subtitles, and top comments without downloading videos.

Search and retrieve academic papers from arXiv and DBLP databases, with AI-powered prompts to generate comprehensive research summaries, discover related topics, and identify leading authors in any field.

An MCP server that enables AI assistants to verify BibTeX citations and URLs against academic databases like Semantic Scholar and DBLP. It allows users to ensure bibliography accuracy and link accessibility directly within their research workflows.

Enables media playback, searching, downloading, and casting to DLNA/AirPlay/Chromecast devices, with cookie management, through the Model Context Protocol.

An MCP Server that enables interaction with Google Cloud's Data Loss Prevention (DLP) API, allowing users to discover, classify, and protect sensitive data through natural language commands.

Provides tools for downloading YouTube videos and audio using yt-dlp, enabling integration with AI assistants via MCP.