Server data from the Official MCP Registry
Ask for a model and Facet does the rest: it builds, checks and serves a model for one task.
About
Ask for a model and Facet does the rest: it builds, checks and serves a model for one task.
Remote endpoints: streamable-http: https://facet.halfspacelabs.com/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-halfspacelabs-facet": {
"url": "https://facet.halfspacelabs.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Facet plugins
Facet takes a task from one plain-language ask to a live model: its agent builds a model for one narrow 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.
In Claude Code the Skills are commands:
/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 <model>: 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.
Nothing leaves your machine until you've seen it and said yes. Rows come only from your repo's tests, fixtures and samples; the agent never opens .env or credential files, drops rows that look like keys, offers to mask personal details, and never sends an LLM's answers as training data. The plugin runs no code on your machine.
- Claude Code:
/plugin marketplace add halfspacelabs/facet-plugins, then/plugin install facet@facet - Cursor: install Facet from the Cursor marketplace
- Codex and ChatGPT: install Facet from the plugin directory
- Any MCP client: add
https://facet.halfspacelabs.com/mcp; it signs you in with OAuth
Facet is invite-only for now: join the waitlist first, then sign in with the email we invite.
Docs: facet.halfspacelabs.com/docs/agents
This repository is published from plugin/ in Facet's own repository; change it there.
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