Bring Researcher Search
to OpenAI Agents SDK
Learn how to connect ORCID (Researcher IDs) to OpenAI Agents SDK and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
What you can do
- Registry Search — Perform standard or expanded Solr searches to find researchers by name, institution, or keywords using
searchandexpanded_search. - Profile Summaries — Retrieve complete researcher records, including biographical details and activity summaries, via
get_recordandget_activities. - Works & Funding — Inspect specific research outputs and funding history using
get_worksor drill down into specific items withget_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_itemandupdate_item(requires Member API).
How it works
- Subscribe to this server
- Enter your ORCID Access Token (Public or Member API)
- Start querying researcher data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Academic Researchers — quickly find collaborators and verify publication records without manual searching
- Librarians & Data Managers — automate the retrieval of institutional research outputs and metadata
- Grant Officers — verify researcher credentials and funding history directly within your workflow
Built-in capabilities (14)
Requires Member API access token with /activities/update or /person/update scope. Add a new item to an ORCID record (Member API only)
Search the ORCID registry and return CSV data
Requires Member API access token. Delete an item from an ORCID record (Member API only)
Search the ORCID registry (Expanded)
Get summary of all activities for an ORCID record
Get biographical section of an ORCID record
Get full summary of an ORCID record
Get full details for a specific item in an ORCID record
Requires Member API access token. Get validated trust markers (Member API only)
Get summary of research works for an ORCID record
Requires /webhook scope. Register a webhook for an ORCID record (Premium Member API only)
Search the ORCID registry (Standard)
Unregister a webhook for an ORCID record (Premium Member API only)
Requires Member API access token. Update an existing item in an ORCID record (Member API only)
Why OpenAI Agents SDK?
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.
- —
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) in OpenAI Agents SDK
ORCID (Researcher IDs) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ORCID (Researcher IDs) to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ORCID (Researcher IDs) in OpenAI Agents SDK
The ORCID (Researcher IDs) 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ORCID (Researcher IDs) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the ORCID (Researcher IDs) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for researchers by their institution or specific keywords?
Yes! Use the expanded_search tool with a Solr query like affiliation-name:"University of Oxford" to find researchers associated with specific organizations along with their profile details.
How do I retrieve the full list of publications for a specific ORCID iD?
You can use the get_works tool by providing the researcher's ORCID iD. This will return a summary of all research works associated with that record.
Is it possible to add new research items to an ORCID profile using this server?
Yes, if you have a Member API access token with the appropriate scopes, you can use the add_item tool to add works, funding, or other activities to a record.
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.
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.
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