ORCID MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Create Item, Csv Search, Delete Item, and more

Name: ORCID
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 ORCID through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The ORCID MCP Server for Pydantic AI is a standout in the Knowledge Management category — giving your AI agent 13 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 ORCID "
            "(13 tools)."
        ),
    )

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

asyncio.run(main())

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About ORCID MCP Server

Connect to the ORCID (Open Researcher and Contributor ID) registry to identify and connect researchers with their professional activities across disciplines and borders.

Pydantic AI validates every ORCID tool response against typed schemas, catching data inconsistencies at build time. Connect 13 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

Record Retrieval — Fetch full summary views or specific biographical sections of any researcher using their 16-digit ORCID iD.
Activity Tracking — Query summaries of all activities including works, funding, and institutional affiliations.
Registry Search — Search the global ORCID database using Solr syntax to find researchers by name, email, or keywords.
Item Management — Deep dive into specific works or funding items using unique put-codes to retrieve full metadata.
Member API Features — For authorized users, create, update, or delete items within sections to keep researcher profiles synchronized.

The ORCID MCP Server exposes 13 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 13 ORCID tools available for Pydantic AI

When Pydantic AI connects to ORCID through Vinkius, your AI agent gets direct access to every tool listed below — spanning researcher-id, academic-publishing, data-attribution, 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.

create

Create item on ORCID

Requires Member API access and appropriate scopes. Add a new item to a section (Member API only)

csv

Csv search on ORCID

Search the ORCID registry and return CSV format

delete

Delete item on ORCID

Requires Member API access. Delete an item from a section (Member API only)

expanded

Expanded search on ORCID

Search the ORCID registry and return expanded metadata

get

Get activities on ORCID

Get summary of all activities for an ORCID record

get

Get item on ORCID

Get a specific item from a section using its put-code

get

Get person on ORCID

Get biographical section of an ORCID record

get

Get record on ORCID

Get summary view of the full ORCID record

get

Get section on ORCID

Get summary of a specific section

get

Get summary on ORCID

Requires Member API access. Get validated and self-asserted summary (Member API only)

Register webhook on ORCID

Requires Premium Member API. Register a webhook callback URL for an ORCID record (Premium only)

action

Search on ORCID

Supports fields like given-names, family-name, email, orcid, etc. Search the ORCID registry using Solr 3.6 syntax

update

Update item on ORCID

Requires Member API access. Update an existing item in a section (Member API only)

Connect ORCID to Pydantic AI via MCP

Follow these steps to wire ORCID 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 13 tools from ORCID with type-safe schemas

Why Use Pydantic AI with the ORCID MCP Server

Pydantic AI provides unique advantages when paired with ORCID 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 ORCID integration code

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

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

ORCID + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for ORCID in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ORCID immediately.

"Search the ORCID registry for researchers with the family name 'Einstein'."

"Get the biographical details for ORCID iD 0000-0002-1825-0097."

"List all the works associated with ORCID 0000-0002-1825-0097."

Troubleshooting ORCID MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ORCID + Pydantic AI FAQ

Common questions about integrating ORCID 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 ORCID MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.