ORCID (Researcher IDs) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Add Item, Csv Search, Delete Item, and more

Name: ORCID (Researcher IDs)
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 (Researcher IDs) 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 (Researcher IDs) MCP Server for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 14 tools to work with, ready to go from day one.

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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="ORCID (Researcher IDs) Assistant",
            instructions=(
                "You help users interact with ORCID (Researcher IDs). "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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About ORCID (Researcher IDs) MCP Server

Connect the ORCID registry to your AI agent to seamlessly navigate the global ecosystem of researcher identifiers and scholarly records.

The OpenAI Agents SDK auto-discovers all 14 tools from ORCID (Researcher IDs) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ORCID (Researcher IDs), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Registry Search — Perform standard or expanded Solr searches to find researchers by name, institution, or keywords using search and expanded_search.
Profile Summaries — Retrieve complete researcher records, including biographical details and activity summaries, via get_record and get_activities.
Works & Funding — Inspect specific research outputs and funding history using get_works or drill down into specific items with get_section_item.
Trust Markers — Access validated trust markers for records using get_summary (requires Member API).
Record Management — Add or update items in an ORCID record directly through the agent using add_item and update_item (requires Member API).

The ORCID (Researcher IDs) MCP Server exposes 14 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 14 ORCID (Researcher IDs) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ORCID (Researcher IDs) through Vinkius, your AI agent gets direct access to every tool listed below — spanning researcher-search, academic-profile, solr-search, 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.

add

Add item on ORCID (Researcher IDs)

Requires Member API access token with /activities/update or /person/update scope. Add a new item to an ORCID record (Member API only)

csv

Csv search on ORCID (Researcher IDs)

Search the ORCID registry and return CSV data

delete

Delete item on ORCID (Researcher IDs)

Requires Member API access token. Delete an item from an ORCID record (Member API only)

expanded

Expanded search on ORCID (Researcher IDs)

Search the ORCID registry (Expanded)

get

Get activities on ORCID (Researcher IDs)

Get summary of all activities for an ORCID record

get

Get person on ORCID (Researcher IDs)

Get biographical section of an ORCID record

get

Get record on ORCID (Researcher IDs)

Get full summary of an ORCID record

get

Get section item on ORCID (Researcher IDs)

Get full details for a specific item in an ORCID record

get

Get summary on ORCID (Researcher IDs)

Requires Member API access token. Get validated trust markers (Member API only)

get

Get works on ORCID (Researcher IDs)

Get summary of research works for an ORCID record

Register webhook on ORCID (Researcher IDs)

Requires /webhook scope. Register a webhook for an ORCID record (Premium Member API only)

action

Search on ORCID (Researcher IDs)

Search the ORCID registry (Standard)

unregister

Unregister webhook on ORCID (Researcher IDs)

Unregister a webhook for an ORCID record (Premium Member API only)

update

Update item on ORCID (Researcher IDs)

Requires Member API access token. Update an existing item in an ORCID record (Member API only)

Connect ORCID (Researcher IDs) to OpenAI Agents SDK via MCP

Follow these steps to wire ORCID (Researcher IDs) 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 14 tools from ORCID (Researcher IDs)

Why Use OpenAI Agents SDK with the ORCID (Researcher IDs) MCP Server

OpenAI Agents SDK provides unique advantages when paired with ORCID (Researcher IDs) 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 (Researcher IDs) + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for ORCID (Researcher IDs) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ORCID (Researcher IDs) immediately.

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

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

"List all research works for ORCID 0000-0003-1415-9265."

Troubleshooting ORCID (Researcher IDs) MCP Server with OpenAI Agents SDK

Common issues when connecting ORCID (Researcher IDs) 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 (Researcher IDs) + OpenAI Agents SDK FAQ

Common questions about integrating ORCID (Researcher IDs) 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.