Developer · Local MCP server

AI Workbench MCP

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

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.hrishikesh-thakre/ai-workbench-mcp
Version
0.6.0a0
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2026-05-19
Updated
2026-05-19
Publisher
hrishikesh-thakre (GitHub)
Namespace
Namespace verified by the MCP Registry via GitHub (github.com/hrishikesh-thakre) · how
Repository
github.com/hrishikesh-thakre/ai-workbench-mcp
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIai-workbench-mcp0.6.0a0stdioNone declared

How to connect AI Workbench MCP

AI Workbench MCP runs locally from a Python package published to PyPI: ai-workbench-mcp version 0.6.0a0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install - the usual command is uvx ai-workbench-mcp.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

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

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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