How to Use the Degreed MCP in Claude Code

Q: What is the command to add the Degreed MCP Server to Claude Code?

Run claude mcp add --transport http degreed -- . Make sure you put the transport flag before the server name.

Pipe Degreed learning metrics and user profiles directly into your terminal scripts with Claude Code.

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Connect Degreed MCP to Claude Code

Create your Vinkius account to connect Degreed to Claude Code 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 Degreed with Claude Code

Ask AI about this MCP

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Claude

Perplexity

Automate training reports from the CLI

`list_active_learners` identifies users with recent completion activity within your workspace. Claude Code runs this headlessly in the terminal and pipes the output into a daily Slack summary script. Generating individual histories requires `list_user_completions`. Your agent fetches all learned items, completion timestamps, and earned skill points, formatting them into a CSV without ever opening a browser.

Run Degreed skill audits via Claude Code

`get_user_profile` resolves assigned skill ratings, learning progress, and active pathways for specific individuals. You can trigger this from a bash script to verify if an engineer completed their required security training. Checking the broader organization happens via `list_defined_skills`. The MCP server returns the standardized list of competencies, allowing your terminal agent to cross-reference required skills against your current roster.

Query the learning catalog headlessly

`list_learning_plans` returns active learning plans including target completion dates and linked competencies. Claude Code pulls this JSON and alerts you if any critical compliance deadlines are approaching. Finding new material works through `list_learning_content`. Your AI client fetches titles, providers, and external URLs for the entire catalog, writing the results directly to your local logs.

Setup guide

Set up Degreed MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see degreed-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Degreed transactions." It will automatically discover and invoke the available Degreed tools.

Terminal

claude mcp add --transport http degreed-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Degreed MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "degreed-mcp": {
      "type": "url",
      "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 Degreed. 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 Degreed MCP in Claude Code

Run `claude mcp add --transport http degreed -- `. Make sure you put the transport flag before the server name.

Yes. You can tell the agent to call the pathways tool and pipe the JSON response into a text file or another command-line utility.

Yes. You can run Claude Code headlessly in a GitHub Action to verify team training requirements before granting deployment access.

The agent can list all registered users in your organization. It retrieves system IDs and professional titles based on the permissions tied to your API token.

Terminal outputs are ephemeral and the Vinkius infrastructure handles authentication securely. When you pull learning progress or skill ratings, the data passes through a zero-trust architecture directly to your local standard output.

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