How to Use the Innform MCP in Claude

Q: How do I install the Innform MCP Server on Claude Desktop?

Open your claudedesktopconfig.json file and add the server configuration under the mcpServers key. This activates the MCP tools in your environment. Save the file and restart Claude Desktop to see the tools appear in your chat interface.

Q: Does the Innform integration with Claude Desktop support custom tags?

Yes, it does. The listtags tool lets Claude Desktop read any custom tags you have set up in your LMS to filter training results.

Q: Can I check my own LMS admin account status?

Yes, you can. Use the getme tool to pull the profile details of the currently authenticated API user and confirm your permissions.

Fetch training progress and manage learner profiles directly inside Claude Desktop.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Innform MCP to Claude Desktop

Create your Vinkius account to connect Innform to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Innform with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit user records inside Claude Desktop

The `get_learner` tool fetches a user's profile directly into your desktop chat window. You can search for specific employees, see their active pathways, and verify their current training status without leaving your workspace. This means you no longer need to log into the Innform web portal just to check if a new hire completed their onboarding. Your AI client calls `list_learners` to pull the full roster and highlights who is missing critical compliance steps.

Track course completion rates instantly

The `list_results` tool pulls live assessment scores and course completion data on demand. It reads the raw scores, pinpointing exactly where employees are getting stuck in their training modules. Instead of exporting weekly CSV files, you ask your agent to analyze the data. It uses `list_courses` and `list_modules` to map out the low-performing sections, giving you an immediate view of training bottlenecks.

Map organizational structure to training pathways

The `list_departments` tool retrieves your company's structural layout to help you assign training. It works alongside `list_locations` to isolate specific branches or offices that need targeted compliance modules. You can organize your workforce by calling `list_tags` to group learners by their roles. Your agent connects these tags directly to `list_pathways` to verify that the right teams are enrolled in the correct certification tracks.

Setup guide

Set up Innform MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Innform MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Innform MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under innform-mcp.

json

{
  "mcpServers": {
    "innform-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Innform. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Innform now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Innform MCP in Claude Desktop

Open your `claude_desktop_config.json` file and add the server configuration under the `mcpServers` key. This activates the MCP tools in your environment. Save the file and restart Claude Desktop to see the tools appear in your chat interface.

Yes, you can run it locally via stdio or host it as a remote MCP server. Just make sure your network policies allow outbound HTTPS traffic to the Innform API endpoints.

Yes, it does. The `list_tags` tool lets Claude Desktop read any custom tags you have set up in your LMS to filter training results.

Yes, you can. Use the `get_me` tool to pull the profile details of the currently authenticated API user and confirm your permissions.

All learner records and assessment results stay within your secure environment. V8 Isolate sandboxing handles the execution, meaning your API tokens and learner profiles are never stored or exposed to third parties.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript