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

Name: Figshare
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Figshare through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Figshare MCP Server for OpenAI Agents 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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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Figshare Assistant",
            instructions=(
                "You help users interact with Figshare. "
                "You have access to 20 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Figshare"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

The OpenAI Agents SDK auto-discovers all 20 tools from Figshare through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Figshare, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 articles on Figshare

Advanced search for articles

Search collections on Figshare

Advanced search for collections

Search projects on Figshare

Advanced search for projects

update

Update article on Figshare

Update an existing article

Connect Figshare to OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 20 tools from Figshare

Why Use OpenAI Agents SDK with the Figshare MCP Server

OpenAI Agents SDK provides unique advantages when paired with Figshare through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Figshare + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Figshare MCP Server delivers measurable value.

Automated workflows: build agents that query Figshare, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Figshare, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Figshare tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Figshare to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Figshare in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Figshare to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Figshare + OpenAI Agents SDK FAQ

Common questions about integrating Figshare MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.