How to Use the Innform MCP in VS Code Copilot

Q: How do I share the Innform MCP Server with my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository and commit it to Git. Every team member gets access to the MCP tools automatically.

Share Innform LMS tools with your entire engineering team in VS Code Copilot.

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Connect Innform MCP to VS Code Copilot

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

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Setup Innform with VS Code Copilot

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Automate compliance tracking with VS Code Copilot

The `list_results` tool fetches real-time assessment scores directly into your shared development environment. Your team can write automated compliance scripts that trigger when a learner finishes a required course. Instead of manually checking progress, Copilot reads the completion metrics for you. It uses `list_pathways` to verify if a developer has completed the mandatory security training before granting repository access.

Build enterprise onboarding workflows

The `list_learners` tool retrieves your complete workforce roster to help you build custom HR integrations. You can map these profiles to your internal databases using the unique identifiers returned by the API. To keep your database clean, use `get_learner` to verify individual accounts before running update scripts. This prevents duplicate records and ensures your internal tools stay in sync with the LMS.

Organize training content by metadata

The `list_tags` tool pulls all defined tags to help you filter and categorize courses within your codebase. You can use these tags to build dynamic search filters in your custom employee portal. Combined with `list_modules`, this tool allows you to map specific lessons to engineering roles. Your team can quickly write scripts that recommend specific modules based on an employee's active projects.

Setup guide

Set up Innform MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Innform MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Innform tools listed. Try asking: "List my recent Innform transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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.

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Common questions about Innform MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository and commit it to Git. Every team member gets access to the MCP tools automatically.

Yes, it can. Copilot can analyze the responses from tools like `list_courses` to help you design caching strategies and optimize your API requests.

Yes, you can configure different API keys in your local environment. Copilot uses the active credentials to fetch data via `get_me` and other endpoints.

No, this server focuses on read operations. You can use tools like `get_learner` to fetch details, but updates must be handled through the main Innform API or web interface.

All communication between the client and the LMS occurs over secure HTTPS connections. Your training modules and assessment data are processed inside an ephemeral, zero-trust sandbox that deletes all session data immediately after execution.

Use it with your favorite AI tools

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