Bring Academic Research
to OpenAI Agents SDK
Learn how to connect MIT DBLP to OpenAI Agents SDK and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the MIT DBLP MCP Server?
Connect to the DBLP Computer Science Bibliography — the most comprehensive index of CS research, maintained by Schloss Dagstuhl.
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
Who is this for?
- CS Researchers — literature reviews and related work discovery
- PhD Students — find the latest papers in your area
- Faculty — track research output and collaboration networks
- Hiring Committees — evaluate candidate publication records
Built-in capabilities (16)
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
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
Essential for evaluating research productivity and impact. Get publication statistics for an author
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
g. "journals/cacm/Knuth74", "conf/nips/VaswaniSPUJGKP17"). The key uniquely identifies every record in DBLP. Get publication details by DBLP key
Use conference abbreviations (ICML, NeurIPS, SIGMOD) or full journal names. Get venue details (conference or journal)
Essential for exploring what was published at a particular conference edition (e.g. NeurIPS 2024). Get papers published at a specific venue
These are the premier conferences for artificial intelligence and machine learning research. Search AI and machine learning papers at top venues
Returns author names, DBLP profile URLs, and disambiguation notes. DBLP meticulously disambiguates authors with the same name. Search computer science authors on DBLP
Useful for tracking research trends over time or finding papers from a specific conference edition. Search publications filtered by year
Search database papers at top venues
Combine a venue name with an optional topic query to find relevant papers at a particular venue. Search for papers within a specific venue
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 at top venues
Search theoretical CS papers at top venues
Returns venue names, DBLP URLs, and types. Search CS conferences and journals
Why OpenAI Agents SDK?
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.
- —
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 in OpenAI Agents SDK
MIT DBLP and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect MIT DBLP to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for MIT DBLP in OpenAI Agents SDK
The MIT DBLP 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. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
MIT DBLP for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the MIT DBLP MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
Explore More MCP Servers
View all →
Tencent Cloud VOD / 腾讯云点播
8 toolsTencent's dominant video-on-demand platform — manage media, track tasks, and audit storage via AI.
SimpleTexting
12 toolsSend mass text messages, run SMS campaigns, and manage two-way conversations with customers from one simple platform.
Deepgram
10 toolsPower audio AI via Deepgram — perform high-speed speech-to-text, generate lifelike text-to-speech, track usage, and manage API keys directly from any AI agent.
Browse AI
12 toolsExtract data from any website without code using trained robots that monitor pages and deliver structured results automatically.