LadderHub Now Supports MCP — Let AI Track Your Achievements

We are excited to announce that LadderHub now supports the Model Context Protocol (MCP) — an open standard that lets AI assistants interact with external tools and services. This means you can now create brag items directly from your IDE, terminal, or any MCP-compatible client without ever leaving your workflow.

What is MCP?

The Model Context Protocol is an open standard created by Anthropic that provides a universal way for AI models to connect with external data sources and tools. Think of it as a USB-C port for AI — a single, standardized interface that lets any compatible AI assistant plug into any compatible service.

With MCP support, AI assistants like Claude can read from and write to LadderHub on your behalf, turning natural language into structured career data.

What You Can Do

With LadderHub's MCP integration, you can ask your AI assistant to log achievements as they happen. No context switching, no opening a separate tab, no forgetting to document your wins at the end of the week.

• ✓ Create brag items using natural language from your IDE or terminal
• ✓ Follow the Impact + How format automatically — the AI structures your input correctly
• ✓ Link to skills by providing skill level IDs for precise career tracking
• ✓ Set custom dates to log past achievements you forgot to record

Setup Guide

Step 1: Generate an API Token

Log in to LadderHub and navigate to Settings > API Token. Click Generate Token to create a new personal access token. Copy it immediately — it will only be shown once.

Step 2: Configure Your MCP Client

LadderHub provides a remote MCP server — no local installation required. Just point your MCP client to the URL with your API token. Below are examples for the most common setups.

Claude Code

Run the following command in your terminal to add the LadderHub remote MCP server:

claude mcp add ladderhub \
  --transport http \
  https://app.ladder-hub.com/api/mcp?token=lh_your_token_here

Alternatively, create or edit a .mcp.json file in your project root:

{
  "mcpServers": {
    "ladderhub": {
      "type": "http",
      "url": "https://app.ladder-hub.com/api/mcp?token=lh_your_token_here"
    }
  }
}

Claude Desktop

In Claude Desktop, click your profile icon, then go to Settings → Customize → Connectors. Click the + button and select Add Custom Connector. In the popup, enter a name (e.g. "LadderHub") and paste the URL:

https://app.ladder-hub.com/api/mcp?token=lh_your_token_here

Other MCP Clients

Any MCP client that supports the Streamable HTTP transport can connect to LadderHub. Use the following endpoint:

https://app.ladder-hub.com/api/mcp

Authenticate via an Authorization: Bearer lh_your_token_here header, or pass the token as a ?token=lh_your_token_here query parameter for clients that don't support custom headers.

Replace lh_your_token_here with the token you generated in Step 1.

Usage Examples

Once configured, just talk to your AI assistant naturally. Here are some examples of what you can say:

Available Tools

The LadderHub MCP server currently exposes the following tool:

Parameters