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ORCID (Researcher IDs) MCP Server for Mastra AIGive Mastra AI instant access to 14 tools to Add Item, Csv Search, Delete Item, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ORCID (Researcher IDs) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

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The ORCID (Researcher IDs) MCP Server for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "ORCID (Researcher IDs) Agent",
    instructions:
      "You help users interact with ORCID (Researcher IDs) " +
      "using 14 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with ORCID (Researcher IDs)?"
  );
  console.log(result.text);
}

main();
ORCID (Researcher IDs)
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

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.

Mastra's agent abstraction provides a clean separation between LLM logic and ORCID (Researcher IDs) tool infrastructure. Connect 14 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 14 tools from ORCID (Researcher IDs) via MCP

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

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ORCID (Researcher IDs) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every ORCID (Researcher IDs) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

ORCID (Researcher IDs) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query ORCID (Researcher IDs), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed ORCID (Researcher IDs) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query ORCID (Researcher IDs) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using ORCID (Researcher IDs) tools alongside other MCP servers

Example Prompts for ORCID (Researcher IDs) in Mastra AI

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

01

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

02

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

03

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

Troubleshooting ORCID (Researcher IDs) MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

ORCID (Researcher IDs) + Mastra AI FAQ

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

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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