MIT DBLP MCP Server for AutoGenGive AutoGen instant access to 16 tools to Get Author, Get Author Publications, Get Author Stats, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add MIT DBLP as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The MIT DBLP MCP Server for AutoGen is a standout in the Knowledge Management category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="mit_dblp_agent",
tools=tools,
system_message=(
"You help users with MIT DBLP. "
"16 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About MIT DBLP MCP Server
Connect to the DBLP Computer Science Bibliography — the most comprehensive index of CS research, maintained by Schloss Dagstuhl.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use MIT DBLP tools. Connect 16 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 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 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 author stats on MIT DBLP
Essential for evaluating research productivity and impact. Get publication statistics for an author
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 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 venue on MIT DBLP
Use conference abbreviations (ICML, NeurIPS, SIGMOD) or full journal names. Get venue details (conference or journal)
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 AutoGen via MCP
Follow these steps to wire MIT DBLP into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the MIT DBLP MCP Server
AutoGen provides unique advantages when paired with MIT DBLP through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use MIT DBLP tools to solve complex tasks
Role-based architecture lets you assign MIT DBLP tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive MIT DBLP tool calls
Code execution sandbox: AutoGen agents can write and run code that processes MIT DBLP tool responses in an isolated environment
MIT DBLP + AutoGen Use Cases
Practical scenarios where AutoGen combined with the MIT DBLP MCP Server delivers measurable value.
Collaborative analysis: one agent queries MIT DBLP while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from MIT DBLP, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using MIT DBLP data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process MIT DBLP responses in a sandboxed execution environment
Example Prompts for MIT DBLP in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting MIT DBLP to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"MIT DBLP + AutoGen FAQ
Common questions about integrating MIT DBLP MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Explore More MCP Servers
View all →
Messaggio
12 toolsSend bulk SMS, Viber, and WhatsApp messages through a unified API with delivery tracking and campaign analytics.
Postman
6 toolsBring your Postman API lifecycle to your AI — orchestrate collections, environments, API mocks, and check workspace health seamlessly.
HubSpot Lead Creator
1 toolsThis MCP does exactly one thing: it extracts customer data from conversations and creates a new Contact in your HubSpot CRM. That's its only function. Incredible for turning your AI into an automated sales assistant.
Conekta
8 toolsEquip your AI agent to securely manage Latin American payments, view transactions, and track sales using the Conekta API.