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MIT DBLP MCP Server for Mastra AIGive Mastra AI instant access to 16 tools to Get Author, Get Author Publications, Get Author Stats, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MIT DBLP through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "mit-dblp": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "MIT DBLP Agent",
    instructions:
      "You help users interact with MIT DBLP " +
      "using 16 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with MIT DBLP?"
  );
  console.log(result.text);
}

main();
MIT DBLP
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and MIT DBLP tool infrastructure. Connect 16 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

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

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

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

Search database papers on MIT DBLP

Search database papers at top venues

search

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

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

Search systems papers on MIT DBLP

Search systems papers at top venues

search

Search theory papers on MIT DBLP

Search theoretical CS papers at top venues

search

Search venues on MIT DBLP

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

Connect MIT DBLP to Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 16 tools from MIT DBLP via MCP

Why Use Mastra AI with the MIT DBLP MCP Server

Mastra AI provides unique advantages when paired with MIT DBLP through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MIT DBLP without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every MIT DBLP tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

MIT DBLP + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the MIT DBLP MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query MIT DBLP, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed MIT DBLP as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query MIT DBLP on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using MIT DBLP tools alongside other MCP servers

Example Prompts for MIT DBLP in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with MIT DBLP immediately.

01

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

02

"Search for publications by Yoshua Bengio"

03

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

Troubleshooting MIT DBLP MCP Server with Mastra AI

Common issues when connecting MIT DBLP to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

MIT DBLP + Mastra AI FAQ

Common questions about integrating MIT DBLP MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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