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

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Figshare 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 Figshare MCP Server for Mastra AI 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 { 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: {
      "figshare": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Figshare Agent",
    instructions:
      "You help users interact with Figshare " +
      "using 20 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Figshare
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 Figshare MCP Server

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

Mastra's agent abstraction provides a clean separation between LLM logic and Figshare tool infrastructure. Connect 20 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

  • 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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

Follow these steps to wire Figshare 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 20 tools from Figshare via MCP

Why Use Mastra AI with the Figshare MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Figshare 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 Figshare 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

Figshare + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Figshare 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 Figshare on a cron and store results in your database automatically

04

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

Example Prompts for Figshare in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Figshare + Mastra AI FAQ

Common questions about integrating Figshare 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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