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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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 file upload on Figshare
Complete a file upload
Create collection on Figshare
Create a new collection
Create private article on Figshare
Create a new private article
Create project on Figshare
Create a new project
Delete article on Figshare
Delete an article
Get article on Figshare
Get details of a specific article
Get article downloads on Figshare
Get total downloads for an article
Get article views on Figshare
Get total views for an article
Get custom fields on Figshare
Get custom metadata fields for the institution
Get file details on Figshare
Get file details
Get hrfeed upload on Figshare
Get HR feed upload details
Initiate file upload on Figshare
Initiate a file upload for an article
List article files on Figshare
List files for an article
List public articles on Figshare
List public articles
List public collections on Figshare
List public collections
List public projects on Figshare
List public projects
Search articles on Figshare
Advanced search for articles
Search collections on Figshare
Advanced search for collections
Search projects on Figshare
Advanced search for projects
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.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
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 Figshare integration everywhere
Built-in streaming UI primitives let you display Figshare 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
Figshare + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Figshare MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Figshare in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Figshare tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Figshare capabilities into conversational interfaces with streaming responses and tool call visibility
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.
"List the most recent public articles on Figshare."
"Create a private article titled 'Lab Results Q4' with the description 'Raw data from the December experiments'."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpFigshare + Vercel AI SDK FAQ
Common questions about integrating Figshare 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.Explore More MCP Servers
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