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
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPI | ai-workbench-mcp | 0.6.0a0 | stdio |
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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