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Deploy to Agents vs Tuning Engines - Governed AI Runtime

Deploy to Agents is an MCP server published by deploytoagents.com. Marketplaces we read that list it: 1 (Official MCP Registry). Tuning Engines - Governed AI Runtime is an MCP server published by cerebrixos-org. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-22. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceDeploy to AgentsTuning Engines - Governed AI Runtime
Official MCP Registry Listed
Version: 0.3.0
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Listed
Version: 0.4.34
Downloads/month (npm): 702
Downloads/week (npm): 192
Forks (GitHub): 4 (last published figure)
Stars (GitHub): 6 (last published figure)
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Deploy to Agents vs Tuning Engines - Governed AI Runtime
FactDeploy to AgentsTuning Engines - Governed AI Runtime
Marketplaces that list it11
Stars (GitHub) (differs)06 (last published figure)
Forks (GitHub) (differs)04 (last published figure)
Last releaseNot publishedNot published
Where it runs (differs)Remote server (deploytoagents.com/mcp)On your machine (tuningengines-cli)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published1, secrets among them: 1
Licence (differs)Not statedMIT
Repository (differs)github.com/saezbaldo/deploytoagentsgithub.com/cerebrixos-org/tuning-engines-cli
Changes in the last 7 days (differs)02
First seen2026-10-112026-10-11
Endpoint at the last check (differs)Responded 5 days agono remote endpoint we check

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

Deploy to Agents

In its own words, on Official MCP Registry:

Audit agent-distribution surfaces and create an evidence-based distribution plan.

Tuning Engines - Governed AI Runtime

In its own words, on Official MCP Registry:

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

How to run each

Deploy to Agents As a remote MCP server

Claude Code
claude mcp add --transport http deploy-to-agents https://deploytoagents.com/mcp

Tuning Engines - Governed AI Runtime As a local MCP server: npm package

Claude Code
claude mcp add --env "TE_API_KEY=<YOUR_TE_API_KEY>" --transport stdio tuning-engines -- npx -y tuningengines-cli mcp serve

Requires: TE_API_KEY (secret)

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Deploy to Agents has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

The marketplaces of Deploy to Agents publish no settings it asks for, so we do not compare settings.

What it can do: Deploy to Agents · What it can do: Tuning Engines - Governed AI Runtime · Compare two other plugins

Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built