Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Estelle Check if the getUserById function exists in the codebase"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Your coding agent forgets your codebase every time you open a new session. Estelle is the memory it should have had, plus a gate that checks the agent's claims against your real code before it tells you something confidently wrong.
You keep your own model and your own plan. Estelle rides alongside.
npx @fatelabs/estelle initDetects the editors you have installed and writes Estelle's MCP server into each config, leaving your other servers alone. Restart your editor and your agent has the new tools.
Related MCP server: Heimdall MCP Server
Estelle is an account, not a local tool. Get one free at fatelabs.ca — no card.
init will ask for it.
Commands, editor setup, the API, how memory and the grounding gate work: fatelabs.ca/docs
Zero dependencies, Node 18 or newer. Published from CI with npm provenance, so every version is cryptographically attested to the commit it was built from.
This repository is the client only. The Estelle server is closed source and none of it is here. Source-available, not open source: read it, audit it, verify it. All rights reserved. See LICENSE.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Persistent memory for AI agents — verbatim conversations, searchable by meaning.
Persistent memory for AI agents. Search, store, and recall across sessions.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/uqeu/estelle-cli'
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