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Vinkius

DBLP Connector for AI agents.

16 live capabilities

Find and analyze computer science publications across global research venues.

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AI Agent

Why people use DBLP

MIT DBLP for Faster Computer Science Literature Reviews

This Connector lets your agent do that in one go. You can ask for all papers in a specific venue or a specific year, and your agent will pull the data into a clean list for you to review immediately.

  • Claude
  • ChatGPT
  • Gemini
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What Vinkius changes

Your agent becomes a high-speed research assistant that can scan the entire CS bibliography in seconds.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Thesis Literature Review

    A PhD student needs to find every paper on distributed systems from 2022.

  2. Real-world use case 02

    Candidate Screening

    A hiring manager needs to verify a candidate's publication record.

  3. Real-world use case 03

    Conference Planning

    An organizer wants to see what was published at NeurIPS last year.

Complete set · 16capabilities

The complete DBLP capability set.

These are the exact actions your AI can choose when you ask it to work with DBLP.

Capability set01 / 04

01—04

4 capabilities in this set.

Part of 16 available through DBLP.

  1. 01 Capability

    Get author publications

    Lists up to 40 recent papers for a specific author. Use this to see an author's most recent work.

  2. 02 Capability

    Get author stats

    Provides publication counts and venue distributions for an author. It is great for evaluating research impact.

  3. 03 Capability

    Get coauthors

    Returns a ranked list of a researcher's collaborators. Use this to see who works with whom most often.

  4. 04 Capability

    Get publication

    Fetches full metadata for a specific paper using its DBLP key. This gives you all the details for a single record.

Capability set02 / 04

05—08

4 capabilities in this set.

Part of 16 available through DBLP.

  1. 05 Capability

    Get venue

    Retrieves details for specific conferences or journals. Use abbreviations like ICML or SIGMOD.

  2. 06 Capability

    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.

  3. 07 Capability

    Search ai papers

    Finds research from premier AI and machine learning venues. Use this for focused AI research.

  4. 08 Capability

    Search authors

    Searches for CS researchers and provides their profile URLs. This helps disambiguate authors with the same name.

Capability set03 / 04

09—12

4 capabilities in this set.

Part of 16 available through DBLP.

  1. 09 Capability

    Search by year

    Filters publications by a specific calendar year. Use this to track research trends over time.

  2. 10 Capability

    Search database papers

    Searches for research within top database venues. This isolates papers from venues like SIGMOD and VLDB.

  3. 11 Capability

    Search in venue

    Finds papers within a specific venue based on a topic query. This narrows down results to a specific conference.

  4. 12 Capability

    Search publications

    Performs a broad search across all major CS venues. This covers over 6 million records across journals and conferences.

Capability set04 / 04

13—16

4 capabilities in this set.

Part of 16 available through DBLP.

  1. 13 Capability

    Search systems papers

    Finds research specifically from top systems venues. Use this for OSDI, SOSP, and SIGCOMM papers.

  2. 14 Capability

    Search theory papers

    Searches for theoretical computer science research. Use this for papers from STOC, FOCS, and SODA.

  3. 15 Capability

    Search venues

    Lists CS conferences and journals with their DBLP URLs. Use this to find the correct venue identifiers.

  4. 16 Capability

    Get author

    Pulls a researcher's full profile using their DBLP PID. This helps you get a snapshot of an author's career.

Set up in minutes

One URL. Then ask DBLP to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DBLP from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_wzl6VtvevfVn9IEOYWvCdabRrYOt5ifiQq6nWAJS/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it DBLP, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable DBLP for the conversation.

Where the request belongs

Work DBLP can move forward.

Built around the request

This is for the academic who's drowning in PDFs and the researcher trying to map out a new field of study. It's for anyone who needs to verify a candidate's publication history or find the latest papers in a specific niche without manual searching.

01

PhD Student

Uses the Connector to find related work for a thesis and map out citation networks in their specific niche.

02

CS Researcher

Tracks publication trends in AI or systems to identify gaps in current literature.

03

Hiring Committee Member

Verifies a job candidate's publication record and research impact quickly.

04

Faculty Member

Maps out collaboration networks to support grant proposals and research planning.

Bring your own AI

Change the model, client or framework. Keep DBLP connected.

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Before you connect

Questions about DBLP.

The practical details behind the request, access and result.

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 capabilities 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.

One connection away

Give your agent a direct line to DBLP.

Connect DBLP once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available