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AI Workbench MCP

MCP server · by hrishikesh-thakre

Developer Tools Python v0.6.0a0

Goose-first MCP server for Workbench-owned acceptance evidence, validation gates, and analytics.

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Install

Run one of the commands below, then add the client config underneath.

Pythonuvx ai-workbench-mcp

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "ai-workbench-mcp-2": {
      "command": "uvx",
      "args": [
        "ai-workbench-mcp"
      ]
    }
  }
}

About this server

AI Workbench MCP is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the AI Workbench MCP MCP server?

AI Workbench MCP is an MCP server by hrishikesh-thakre. Goose-first MCP server for Workbench-owned acceptance evidence, validation gates, and analytics.

How do I install AI Workbench MCP?

Install it with: uvx ai-workbench-mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is AI Workbench MCP free to use?

The MCP server itself is free to install. The source is public on https://github.com/hrishikesh-thakre/ai-workbench-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support AI Workbench MCP?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.