MIT DBLP MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 16 tools to Get Author, Get Author Publications, Get Author Stats, and more

Name: MIT DBLP
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MIT DBLP through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The MIT DBLP MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 16 tools to work with, ready to go from day one.

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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="MIT DBLP Assistant",
            instructions=(
                "You help users interact with MIT DBLP. "
                "You have access to 16 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from MIT DBLP"
        )
        print(result.final_output)

asyncio.run(main())

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About MIT DBLP MCP Server

Connect to the DBLP Computer Science Bibliography — the most comprehensive index of CS research, maintained by Schloss Dagstuhl.

The OpenAI Agents SDK auto-discovers all 16 tools from MIT DBLP through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MIT DBLP, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Full-Text Search — Search 6M+ CS publications across all venues
Author Profiles — Explore researcher profiles and publication histories
Venue Browsing — Search conferences (NeurIPS, ICML, SIGMOD, OSDI) and journals (JACM, TOCS)
Co-Author Networks — Discover collaboration patterns between researchers
AI/ML Papers — Dedicated search for NeurIPS, ICML, ICLR, and AAAI papers
Systems Papers — Dedicated search for OSDI, SOSP, SIGCOMM, NSDI papers
Theory Papers — Dedicated search for STOC, FOCS, SODA papers
Database Papers — Dedicated search for SIGMOD, VLDB, ICDE papers
Author Statistics — Publication counts, venue distribution, and year-over-year trends

The MIT DBLP MCP Server exposes 16 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 MIT DBLP tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to MIT DBLP through Vinkius, your AI agent gets direct access to every tool listed below — spanning academic-research, bibliography, computer-science, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get author on MIT DBLP

The PID can be found in DBLP URLs (e.g. for "https://dblp.org/pid/b/YoshuaBengio" the PID is "b/YoshuaBengio"). Get author profile by DBLP PID

get

Get author publications on MIT DBLP

Returns up to 40 most recent publications with full metadata. Use the author name as it appears on DBLP. Get all publications by a specific author

get

Get author stats on MIT DBLP

Essential for evaluating research productivity and impact. Get publication statistics for an author

get

Get coauthors on MIT DBLP

Returns a ranked list of collaborators ordered by number of joint publications. Essential for understanding research collaboration patterns. Get co-author network of a researcher

get

Get publication on MIT DBLP

g. "journals/cacm/Knuth74", "conf/nips/VaswaniSPUJGKP17"). The key uniquely identifies every record in DBLP. Get publication details by DBLP key

get

Get venue on MIT DBLP

Use conference abbreviations (ICML, NeurIPS, SIGMOD) or full journal names. Get venue details (conference or journal)

get

Get venue publications on MIT DBLP

Essential for exploring what was published at a particular conference edition (e.g. NeurIPS 2024). Get papers published at a specific venue

Search ai papers on MIT DBLP

These are the premier conferences for artificial intelligence and machine learning research. Search AI and machine learning papers at top venues

Search authors on MIT DBLP

Returns author names, DBLP profile URLs, and disambiguation notes. DBLP meticulously disambiguates authors with the same name. Search computer science authors on DBLP

Search by year on MIT DBLP

Useful for tracking research trends over time or finding papers from a specific conference edition. Search publications filtered by year

Search database papers on MIT DBLP

Search database papers at top venues

Search in venue on MIT DBLP

Combine a venue name with an optional topic query to find relevant papers at a particular venue. Search for papers within a specific venue

Search publications on MIT DBLP

Covers all major conferences (NeurIPS, ICML, SIGMOD, VLDB, OSDI) and journals (JACM, TOCS, VLDBJ). Returns titles, authors, venues, years, DOIs, and DBLP keys. Search 6M+ computer science publications on DBLP

Search systems papers on MIT DBLP

Search systems papers at top venues

Search theory papers on MIT DBLP

Search theoretical CS papers at top venues

Search venues on MIT DBLP

Returns venue names, DBLP URLs, and types. Search CS conferences and journals

Connect MIT DBLP to OpenAI Agents SDK via MCP

Follow these steps to wire MIT DBLP into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 16 tools from MIT DBLP

Why Use OpenAI Agents SDK with the MIT DBLP MCP Server

OpenAI Agents SDK provides unique advantages when paired with MIT DBLP through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

MIT DBLP + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the MIT DBLP MCP Server delivers measurable value.

Automated workflows: build agents that query MIT DBLP, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries MIT DBLP, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through MIT DBLP tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query MIT DBLP to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for MIT DBLP in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MIT DBLP immediately.

"Find recent AI papers on large language models at NeurIPS"

"Search for publications by Yoshua Bengio"

"Find the latest database systems papers from SIGMOD and VLDB"

Troubleshooting MIT DBLP MCP Server with OpenAI Agents SDK

Common issues when connecting MIT DBLP to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

MIT DBLP + OpenAI Agents SDK FAQ

Common questions about integrating MIT DBLP MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.