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Figshare MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 20 tools to Complete File Upload, Create Collection, Create Private Article, and more

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

Ask AI about this MCP Server for Vercel AI SDK

The Figshare MCP Server for Vercel AI SDK is a standout in the Data Management category — giving your AI agent 20 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 { 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 Figshare, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Figshare
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* 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 Figshare MCP Server

Connect your Figshare account to any AI agent to streamline your research data management and publication workflows through natural conversation.

The Vercel AI SDK gives every Figshare tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 20 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

  • Article Management — List public articles, fetch specific article details, and create, update, or delete private articles in your account.
  • File Handling — List files associated with articles, initiate multi-part S3 uploads, and track file details for your research datasets.
  • Collections & Projects — Create and list public collections and projects to organize your scholarly output effectively.
  • Metadata Control — Update titles, descriptions, and other metadata for your articles to ensure they are discoverable and well-documented.

The Figshare MCP Server exposes 20 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 20 Figshare tools available for Vercel AI SDK

When Vercel AI SDK connects to Figshare through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-science, research-data, academic-publishing, 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.

complete

Complete file upload on Figshare

Complete a file upload

create

Create collection on Figshare

Create a new collection

create

Create private article on Figshare

Create a new private article

create

Create project on Figshare

Create a new project

delete

Delete article on Figshare

Delete an article

get

Get article on Figshare

Get details of a specific article

get

Get article downloads on Figshare

Get total downloads for an article

get

Get article views on Figshare

Get total views for an article

get

Get custom fields on Figshare

Get custom metadata fields for the institution

get

Get file details on Figshare

Get file details

get

Get hrfeed upload on Figshare

Get HR feed upload details

initiate

Initiate file upload on Figshare

Initiate a file upload for an article

list

List article files on Figshare

List files for an article

list

List public articles on Figshare

List public articles

list

List public collections on Figshare

List public collections

list

List public projects on Figshare

List public projects

search

Search articles on Figshare

Advanced search for articles

search

Search collections on Figshare

Advanced search for collections

search

Search projects on Figshare

Advanced search for projects

update

Update article on Figshare

Update an existing article

Connect Figshare to Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 20 tools from Figshare and passes them to the LLM

Why Use Vercel AI SDK with the Figshare MCP Server

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

01

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

02

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

03

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

04

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

Figshare + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Figshare in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Figshare immediately.

01

"List the most recent public articles on Figshare."

02

"Create a private article titled 'Lab Results Q4' with the description 'Raw data from the December experiments'."

03

"Show me all files attached to article 1234567."

Troubleshooting Figshare MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Figshare + Vercel AI SDK FAQ

Common questions about integrating Figshare MCP Server with Vercel AI SDK.

01

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.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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