"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.

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

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

Checks every reference of a LaTeX paper against Crossref, dblp, arXiv, DataCite, PubMed and OpenAlex records: whether each cited work exists, whether its metadata matches, and whether it was retracted. Read-only tools confined to the workspace, with no LLM in the verdict.

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.

Enables AI clients to query a DLPInvest portfolio through the DLPInvest REST API, including positions, trades, dividends, returns, statements, assets, brokerages, and strategies.

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.

Exposes SPARQL-backed tools that let users run arbitrary SPARQL queries against DBpedia and search DBLP publication titles by topic to retrieve citation-count results. It serves these capabilities over Streamable HTTP, so MCP clients can call the public endpoints locally, in Docker, or on Cloud Run.

Enables AI assistants to check BibTeX records for bibliographic existence and metadata consistency by querying identifier-first providers like Crossref, OpenAlex, PubMed, DBLP, and arXiv and scoring title, author, year, venue, and page evidence. It returns explainable outcomes such as matches, ambiguous or not-found entries, and identifier conflicts, while keeping edits non-destructive unless explicitly applied.

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.