Productivity · Local MCP server

Tuning Engines - Governed AI Runtime

Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.

Visit Tuning Engines - Governed AI Runtime's website

What the MCP Registry states

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

Registry name
io.github.cerebrixos-org/tuning-engines
Version
0.4.34
Status
Active
Category
productivity
Transport
stdio (local process)
Package
npm
Published
2026-08-07
Updated
2026-08-07
Publisher
cerebrixos-org (GitHub)
Website
tuningengines.com
Repository
github.com/cerebrixos-org/tuning-engines-cli
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
npmtuningengines-cli0.4.34stdioTE_API_KEY (required, secret)

How to connect Tuning Engines - Governed AI Runtime

Tuning Engines - Governed AI Runtime runs locally from a Node.js package published to the npm registry: tuningengines-cli version 0.4.34. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y tuningengines-cli@0.4.34. It reads the environment variable TE_API_KEY (required, secret); set it in the client's configuration for this server.

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

{
  "mcpServers": {
    "tuning-engines": {
      "command": "npx",
      "args": [
        "-y",
        "tuningengines-cli@0.4.34"
      ],
      "env": {
        "TE_API_KEY": "<secret>"
      }
    }
  }
}

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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