Semantic Scholar MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Semantic Scholar through the 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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Vinkius supports streamable HTTP and SSE.
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 Semantic Scholar, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Semantic Scholar MCP Server
Connect your AI agent to the world's most AI-enhanced academic knowledge graph, built and maintained by the Allen Institute for AI (AI2).
The Vercel AI SDK gives every Semantic Scholar tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the 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
- AI-Powered Search — Find papers across 200M+ works with AI-generated TLDR summaries that distill each paper into a single sentence of key insight
- Influential Citations — Beyond simple citation count, see how many influential citations a paper has received — those that meaningfully build upon the cited work
- Multi-Format Lookup — Access papers by Semantic Scholar ID, DOI, ArXiv ID (arXiv:2106.09685), or PubMed ID (PMID:12345)
- Citation Graph — Explore the full citation chain of any paper, with TLDR summaries for each citing work
- Researcher Profiles — Find academics by name with paper counts, total citations, and h-index metrics
The Semantic Scholar MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Semantic Scholar to Vercel AI SDK via MCP
Follow these steps to integrate the Semantic Scholar MCP Server with Vercel AI SDK.
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 4 tools from Semantic Scholar and passes them to the LLM
Why Use Vercel AI SDK with the Semantic Scholar MCP Server
Vercel AI SDK provides unique advantages when paired with Semantic Scholar 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 Semantic Scholar integration everywhere
Built-in streaming UI primitives let you display Semantic Scholar 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
Semantic Scholar + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Semantic Scholar MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Semantic Scholar in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Semantic Scholar tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Semantic Scholar capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Semantic Scholar through natural language queries
Semantic Scholar MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Semantic Scholar to Vercel AI SDK via MCP:
get_semantic_citations
Essential for literature reviews and impact analysis. Find papers that cite a specific work on Semantic Scholar
get_semantic_paper
Accepts Semantic Scholar paper ID, DOI, ArXiv ID (e.g. arXiv:2106.09685), or PMID (e.g. PMID:12345). Get full paper details from Semantic Scholar by paper ID or DOI
search_semantic_author
Returns paper count, total citations, and h-index for each researcher. Find researchers and their publication metrics on Semantic Scholar
search_semantic_scholar
Returns papers with AI-generated TLDR summaries, citation counts, influential citation counts, and fields of study. Covers Computer Science, Medicine, Biology, Physics, and all STEM fields. Search 200M+ academic papers with AI-powered TLDR summaries and influence scores
Example Prompts for Semantic Scholar in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Semantic Scholar immediately.
"What are the most cited papers on transformer architecture in deep learning?"
"Get the full details of the LoRA paper using its ArXiv ID arXiv:2106.09685."
"Find the researcher Yann LeCun and show me his publication metrics."
Troubleshooting Semantic Scholar MCP Server with Vercel AI SDK
Common issues when connecting Semantic Scholar to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSemantic Scholar + Vercel AI SDK FAQ
Common questions about integrating Semantic Scholar MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Semantic Scholar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Semantic Scholar to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.