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Facet MCP ServerVerifiedFeatured

@Halfspace

Basic information

Category

AI & Agents

Last updated

License

MIT

Author

Halfspace

Submitted by

Jonathan Esperanza

About Facet MCP Server

The autonomous model factory

#fine tuning#open models#post-training#inference

Facet MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "facet": {
      "type": "http",
      "url": "https://facet.halfspacelabs.com/mcp"
    }
  }
}

Facet MCP Server tools

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Fetch the live tool list directly from this server's endpoint using the button above.

Overview

What is Facet Plugins?

Facet is the autonomous model factory: its agent builds, evaluates, serves and maintains a small model for one narrow, repeated task, runs plain-language evals on every change, and serves it through an OpenAI-compatible API. This repository is its agent plugin: the remote MCP server and its Skills, for every agent that takes plugins.

How to use Facet Plugins?

Follow the repository README to install the server and add its MCP configuration to your client.

Key features of Facet Plugins

  • /facet:find: find the LLM calls in your repo a Model could take over. Sends nothing to Facet
  • /facet:new file:line: make a Model from one call, with real inputs from your repo
  • /facet:wire : compare a Model on your repo's examples, then swap the call over
  • /facet:status: the Models your repo calls, their evals and any Change in flight
  • Claude Code: /plugin marketplace add halfspacelabs/facet-plugins, then /plugin install facet@facet

Use cases of Facet Plugins

  • Connect an MCP-compatible client to this repository's service.
  • Review the README-backed setup before enabling it in production.

Frequently asked questions

1

Where is the source code for Facet Plugins?

The source code is linked from the repository URL on this page.

2

Does Facet Plugins include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

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