ORCID MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK 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

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

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The ORCID MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 13 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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+ other MCP clients

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="ORCID Assistant",
            instructions=(
                "You help users interact with ORCID. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 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.

The OpenAI Agents SDK auto-discovers all 13 tools from ORCID through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ORCID, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 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 13 ORCID tools available for OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire ORCID 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 13 tools from ORCID

Why Use OpenAI Agents SDK with the ORCID MCP Server

OpenAI Agents SDK provides unique advantages when paired with ORCID 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

ORCID + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for ORCID in OpenAI Agents SDK

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

Common issues when connecting ORCID 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.

ORCID + OpenAI Agents SDK FAQ

Common questions about integrating ORCID 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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