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Vinkius

Innform MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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: {
      "innform": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Innform Agent",
    instructions:
      "You help users interact with Innform " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Innform
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 Innform MCP Server

Empower your AI agents to manage your training platform with Innform. This MCP server allows you to list learners, track course completion, manage learning pathways, and view results directly through the Innform API. Ideal for automating corporate training and employee development.

Mastra's agent abstraction provides a clean separation between LLM logic and Innform tool infrastructure. Connect 10 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.

The Innform MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Innform to Mastra AI via MCP

Follow these steps to integrate the Innform MCP Server with Mastra AI.

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 10 tools from Innform via MCP

Why Use Mastra AI with the Innform MCP Server

Mastra AI provides unique advantages when paired with Innform through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Innform 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 Innform 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

Innform + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Innform MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Innform, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Innform 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 Innform on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Innform tools alongside other MCP servers

Innform MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Innform to Mastra AI via MCP:

01

get_learner

Retrieves details for a specific learner

02

get_me

Gets current authenticated user info

03

list_courses

Lists all courses

04

list_departments

Lists all departments

05

list_learners

Lists all learners in Innform

06

list_locations

Lists all organization locations

07

list_modules

Lists all training modules

08

list_pathways

Lists all learning pathways

09

list_results

Lists learner assessment and course results

10

list_tags

Lists all defined tags

Example Prompts for Innform in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Innform immediately.

01

"List all active learners in my Innform account."

02

"Show me the results for 'Cybersecurity Awareness' course."

03

"Check for any new learning pathways."

Troubleshooting Innform MCP Server with Mastra AI

Common issues when connecting Innform to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Innform + Mastra AI FAQ

Common questions about integrating Innform 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.

Connect Innform to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.