Vercel AI SDKSDK

ORCID (Researcher IDs) MCP Server

Bring Researcher Search
to Vercel AI SDK

Name: ORCID (Researcher IDs) MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect ORCID (Researcher IDs) to Vercel AI 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 Subscribers

Add ItemCsv SearchDelete ItemExpanded SearchGet ActivitiesGet PersonGet RecordGet Section ItemGet SummaryGet WorksRegister WebhookSearchUnregister WebhookUpdate Item

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 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).

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)

add_item

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

csv_search

Search the ORCID registry and return CSV data

delete_item

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

expanded_search

Search the ORCID registry (Expanded)

get_activities

Get summary of all activities for an ORCID record

get_person

Get biographical section of an ORCID record

get_record

Get full summary of an ORCID record

get_section_item

Get full details for a specific item in an ORCID record

get_summary

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

get_works

Get summary of research works for an ORCID record

register_webhook

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

Search the ORCID registry (Standard)

unregister_webhook

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

update_item

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

Why Vercel AI SDK?

The Vercel AI SDK gives every ORCID (Researcher IDs) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

—
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
—
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ORCID (Researcher IDs) integration everywhere
—
Built-in streaming UI primitives let you display ORCID (Researcher IDs) tool results progressively in React, Svelte, or Vue components
—
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

ORCID (Researcher IDs) in Vercel AI SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

ORCID (Researcher IDs) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect ORCID (Researcher IDs) to Vercel AI 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →

Enterprise Security

Why teams choose Vinkius for ORCID (Researcher IDs) in Vercel AI 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 Vercel AI 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.

Unlock for AI Agents View full ORCID (Researcher IDs) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
ORCID (Researcher IDs) for Vercel AI SDK

Every tool call from Vercel AI 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.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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 Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.