"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.

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.

MCP server in Go to search and download books, papers, comics and more from Library Genesis — three focused tools, one static binary, no account required.

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.

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.

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 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.