ROR API (Research Organization Registry) MCP Server for Mastra AIGive Mastra AI instant access to 3 tools to Get Heartbeat, Get Organization, List Organizations

Name: ROR API (Research Organization Registry)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The ROR API (Research Organization Registry) MCP Server for Mastra AI is a standout in the Data Management category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

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: {
      "ror-api-research-organization-registry": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "ROR API (Research Organization Registry) Agent",
    instructions:
      "You help users interact with ROR API (Research Organization Registry) " +
      "using 3 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with ROR API (Research Organization Registry)?"
  );
  console.log(result.text);
}

main();

ROR API (Research Organization Registry)

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 ROR API (Research Organization Registry) MCP Server

Connect to the Research Organization Registry (ROR), the community-led registry of open identifiers for research organizations worldwide. This MCP server allows your AI agent to interact with over 100,000 organization records to ensure data accuracy in scholarly communications.

Mastra's agent abstraction provides a clean separation between LLM logic and ROR API (Research Organization Registry) tool infrastructure. Connect 3 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

Search Organizations — Use keyword searches, advanced Elasticsearch syntax, or affiliation strings to find specific research entities via list_organizations.
Detailed Metadata — Fetch complete records including ROR IDs, website domains, location data, and external identifiers (GRID, ISNI, Crossref) using get_organization.
Affiliation Matching — Resolve unstructured affiliation strings from research papers to official ROR identifiers for better data cleaning.
System Health — Monitor the operational status of the ROR API via get_heartbeat checks.

The ROR API (Research Organization Registry) MCP Server exposes 3 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 3 ROR API (Research Organization Registry) tools available for Mastra AI

When Mastra AI connects to ROR API (Research Organization Registry) through Vinkius, your AI agent gets direct access to every tool listed below — spanning academic-research, metadata, persistent-identifiers, 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.

get

Get heartbeat on ROR API (Research Organization Registry)

Check if the ROR API is operational

get

Get organization on ROR API (Research Organization Registry)

Accepts full URL, domain+ID, or ID only. Retrieve a single ROR organization record

list

List organizations on ROR API (Research Organization Registry)

Use query, query_advanced, or affiliation for searching. Retrieve a list of ROR organizations or search via query

Connect ROR API (Research Organization Registry) to Mastra AI via MCP

Follow these steps to wire ROR API (Research Organization Registry) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

Mastra discovers 3 tools from ROR API (Research Organization Registry) via MCP

Why Use Mastra AI with the ROR API (Research Organization Registry) MCP Server

Mastra AI provides unique advantages when paired with ROR API (Research Organization Registry) through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ROR API (Research Organization Registry) without touching business code

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

TypeScript-native: full type inference for every ROR API (Research Organization Registry) tool response with IDE autocomplete and compile-time checks

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

ROR API (Research Organization Registry) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the ROR API (Research Organization Registry) MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query ROR API (Research Organization Registry), process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed ROR API (Research Organization Registry) as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query ROR API (Research Organization Registry) on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using ROR API (Research Organization Registry) tools alongside other MCP servers

Example Prompts for ROR API (Research Organization Registry) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with ROR API (Research Organization Registry) immediately.

"Search for research organizations in Brazil with the type 'education'."

"Get the full record for ROR ID 015w2mp89."

"Check if the ROR API is currently online."

Troubleshooting ROR API (Research Organization Registry) MCP Server with Mastra AI

Common issues when connecting ROR API (Research Organization Registry) to Mastra AI through Vinkius, and how to resolve them.

createMCPClient not exported

Install: npm install @mastra/mcp

ROR API (Research Organization Registry) + Mastra AI FAQ

Common questions about integrating ROR API (Research Organization Registry) MCP Server with Mastra AI.

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.

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.

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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