Figshare MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Figshare through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Figshare MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 20 tools to work with, ready to go from day one.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Figshare "
            "(20 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Figshare?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

Pydantic AI validates every Figshare tool response against typed schemas, catching data inconsistencies at build time. Connect 20 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI

When Pydantic 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 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 20 tools from Figshare with type-safe schemas

Why Use Pydantic AI with the Figshare MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Figshare integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Figshare connection logic from agent behavior for testable, maintainable code

Figshare + Pydantic AI Use Cases

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

Type-safe data pipelines: query Figshare with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Figshare tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Figshare and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Figshare responses and write comprehensive agent tests

Example Prompts for Figshare in Pydantic AI

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

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Figshare + Pydantic AI FAQ

Common questions about integrating Figshare MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Figshare MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.