ORCID (Researcher IDs) MCP Server for Vercel AI SDKGive Vercel AI 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 Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ORCID (Researcher IDs) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The ORCID (Researcher IDs) MCP Server for Vercel AI 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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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using ORCID (Researcher IDs), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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 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.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

Follow these steps to wire ORCID (Researcher IDs) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 14 tools from ORCID (Researcher IDs) and passes them to the LLM

Why Use Vercel AI SDK with the ORCID (Researcher IDs) MCP Server

Vercel AI SDK provides unique advantages when paired with ORCID (Researcher IDs) through the Model Context Protocol.

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

ORCID (Researcher IDs) + Vercel AI SDK Use Cases

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

AI-powered web apps: build dashboards that query ORCID (Researcher IDs) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate ORCID (Researcher IDs) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed ORCID (Researcher IDs) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with ORCID (Researcher IDs) through natural language queries

Example Prompts for ORCID (Researcher IDs) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK

Common issues when connecting ORCID (Researcher IDs) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ORCID (Researcher IDs) + Vercel AI SDK FAQ

Common questions about integrating ORCID (Researcher IDs) MCP Server with Vercel AI SDK.

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.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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