MIT DBLP MCP Server for Vercel AI SDKGive Vercel AI 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 Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MIT DBLP through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The MIT DBLP MCP Server for Vercel AI 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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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using MIT DBLP, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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 Vercel AI SDK gives every MIT DBLP tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

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

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 16 tools from MIT DBLP and passes them to the LLM

Why Use Vercel AI SDK with the MIT DBLP MCP Server

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

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MIT DBLP integration everywhere

Built-in streaming UI primitives let you display MIT DBLP tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

MIT DBLP + Vercel AI SDK Use Cases

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

AI-powered web apps: build dashboards that query MIT DBLP in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate MIT DBLP tools and return structured JSON responses to any frontend

Chatbots with tool use: embed MIT DBLP capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with MIT DBLP through natural language queries

Example Prompts for MIT DBLP in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MIT DBLP + Vercel AI SDK FAQ

Common questions about integrating MIT DBLP MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.