# MIT DBLP MCP for AI Agents AI Agent Connect > MIT DBLP MCP lets your AI client search millions of computer science publications, find researcher profiles, and map out academic citation networks. It connects your agent directly to the DBLP bibliography to pull metadata for papers from top venues like NeurIPS, ICML, and SIGMOD. ## Overview - **Category:** knowledge-management - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_wzl6VtvevfVn9IEOYWvCdabRrYOt5ifiQq6nWAJS/ai-agent-connect - **Tags:** academic-research, bibliography, computer-science, citation-network, data-indexing, search-engine ## Description Imagine you're deep in a literature review and need to find every paper on a niche subtopic in systems research from the last three years. Instead of opening dozens of tabs and manually filtering through different conference websites, you can just ask your agent to do the heavy lifting. This Connector connects your AI client to the DBLP Computer Science Bibliography, giving it the ability to scan millions of records across journals and conferences. You can pull up a specific author's publication history, see who they collaborate with most often, or grab the full metadata for a specific paper key. It handles the tedious work of navigating academic databases so you can focus on the actual research. Because it's hosted on Vinkius, you get a reliable way to plug this research capability into your existing workflow without worrying about the backend. It's about moving from searching for papers to analyzing the landscape by having your agent synthesize publication trends and author stats on the fly. ## Tools ### get_author_publications Lists up to 40 recent papers for a specific author. Use this to see an author's most recent work. ### get_author_stats Provides publication counts and venue distributions for an author. It is great for evaluating research impact. ### get_coauthors Returns a ranked list of a researcher's collaborators. Use this to see who works with whom most often. ### get_publication Fetches full metadata for a specific paper using its DBLP key. This gives you all the details for a single record. ### get_venue Retrieves details for specific conferences or journals. Use abbreviations like ICML or SIGMOD. ### get_venue_publications Shows all papers published at a specific conference edition. This is perfect for seeing what was at a specific year's event. ### search_ai_papers Finds research from premier AI and machine learning venues. Use this for focused AI research. ### search_authors Searches for CS researchers and provides their profile URLs. This helps disambiguate authors with the same name. ### search_by_year Filters publications by a specific calendar year. Use this to track research trends over time. ### search_database_papers Searches for research within top database venues. This isolates papers from venues like SIGMOD and VLDB. ### search_in_venue Finds papers within a specific venue based on a topic query. This narrows down results to a specific conference. ### search_publications Performs a broad search across all major CS venues. This covers over 6 million records across journals and conferences. ### search_systems_papers Finds research specifically from top systems venues. Use this for OSDI, SOSP, and SIGCOMM papers. ### search_theory_papers Searches for theoretical computer science research. Use this for papers from STOC, FOCS, and SODA. ### search_venues Lists CS conferences and journals with their DBLP URLs. Use this to find the correct venue identifiers. ### get_author Pulls a researcher's full profile using their DBLP PID. This helps you get a snapshot of an author's career. ## Prompt Examples **Prompt:** ``` Find recent papers on query optimization at SIGMOD. ``` **Response:** ``` I've found the recent publications for SIGMOD focusing on query optimization. Here are the highlights: | Title | Year | Venue | | :--- | :--- | :--- | | **Adaptive Query Optimization** | 2024 | SIGMOD | | **Distributed Query Planning** | 2023 | SIGMOD | | **Cost-based Optimization for ML** | 2024 | SIGMOD | Would you like the full metadata for any of these? ``` **Prompt:** ``` What is Yoshua Bengio's publication history? ``` **Response:** ``` Yoshua Bengio has an extensive publication history with over 600 records. His work is primarily concentrated in: * **AI & Machine Learning** (NeurIPS, ICML) * **Deep Learning Theory** * **Neural Networks** His most recent work focuses on scaling and alignment in large models. I can provide a full list of his 40 most recent papers if you'd like. ``` **Prompt:** ``` Who are the top co-authors for researchers in distributed systems? ``` **Response:** ``` Based on the DBLP collaboration networks, here are some of the most frequent collaborators in the distributed systems space: * **Researcher A** (15 joint publications) * **Researcher B** (12 joint publications) * **Researcher C** (10 joint publications) This suggests a very tight-knit collaboration network around core systems research. ``` ## Capabilities ### Search millions of CS publications Your agent can scan the entire DBLP bibliography for specific papers, authors, or venues. ### Pull researcher profiles Get detailed information about a researcher's publication history and academic standing. ### Browse conference and journal venues Identify specific conferences or journals and see what they have published. ### Map out co-author networks Discover collaboration patterns and see who a researcher works with most frequently. ### Filter papers by research area Isolate papers from specific categories like AI, systems, theory, or databases. ### Extract publication statistics Retrieve counts and venue distributions to evaluate research productivity. ## Use Cases ### Thesis Literature Review A PhD student needs to find every paper on distributed systems from 2022. They ask the agent to filter by year and research area to build a bibliography. ### Candidate Screening A hiring manager needs to verify a candidate's publication record. They ask the agent to find the researcher's profile and pull their stats instantly. ### Conference Planning An organizer wants to see what was published at NeurIPS last year. They ask the agent to list all papers from that specific venue edition. ### Trend Analysis A researcher wants to see which venues are most popular for AI. They ask the agent to compare venue types and publication counts across the database. ## Benefits - Skip manual searching by scanning millions of records instantly to find relevant papers. - Identify key collaborators quickly to see who works with whom in your research field. - Get a full picture of a researcher's impact with publication trends and venue distributions. - Find specific papers in your niche faster with combined topic queries within specific venues. - Track research history over time to see how a field has evolved by filtering by year. - Quickly locate specific conference papers for a set year to see what was published at a specific event. ## How It Works The bottom line is your agent becomes a high-speed research assistant that can scan the entire CS bibliography in seconds. 1. Connect the MIT DBLP MCP to your AI client via Vinkius. 2. Ask your agent to search for specific authors, venues, or paper topics. 3. Receive structured data on publications, stats, and citation networks. ## Frequently Asked Questions **What can I do with the MIT DBLP MCP?** You can use your agent to search millions of computer science papers, find specific researcher profiles, and pull publication statistics for anyone in the field. **Does the MIT DBLP MCP cover all major conferences?** Yes, it covers the major ones including NeurIPS, ICML, SIGMOD, VLDB, OSDI, and many others across various CS subfields. **Can I find papers from a specific year with the MIT DBLP MCP?** Yes, you can filter the entire database by year to see how research trends have shifted over time or to find papers from a specific conference edition. **Is the MIT DBLP MCP good for AI research?** It is excellent for AI research. It has dedicated search tools specifically for finding papers in premier AI and machine learning venues. **How do I find a specific author's profile using the MIT DBLP MCP?** You can ask your agent to search for the author by name. Once it finds the correct profile, it can pull their full publication history and stats. **Can the MIT DBLP MCP give me publication stats?** Yes, it can provide publication counts and venue distributions for any researcher, which is helpful for evaluating academic impact. **Do I need an API key?** No. The DBLP API is completely free and public. No authentication required. **What venues does DBLP cover?** DBLP indexes all major CS conferences (NeurIPS, ICML, SIGMOD, OSDI, STOC) and journals (JACM, TOCS, IEEE TPAMI). It covers over 6 million publications from thousands of venues worldwide. **Can I find co-author networks?** Yes. DBLP maintains detailed co-author relationships. You can explore an author's collaborators, see shared publications, and map research networks across institutions.