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Epitome — Claude Code MCP server: what it does, how to install

Shared persistent memory for coding assistants. Keeps your tech preferences and project details available across all connected agents.

Install into Claude Code · Platform CLI: remote server All methods and platforms ↓
claude mcp add --transport http epitome https://epitome.fyi/mcp
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What Epitome does

Epitome connects assistants to an external memory store. Instead of retyping stack details in every chat, models query a shared PostgreSQL backend. It exposes three tools: recall, memorize, and review. These let agents search or record details.

The backend runs on Hono, PostgreSQL 17, and pgvector. Each user gets a dedicated database schema. Self-hosting requires Docker Compose, while hosted accounts need an API token to communicate.

What it helps with

  • persist developer preferences across separate agent sessions
  • retrieve context using semantic and structured queries
  • track agent read and write operations via an audit log
  • share user memory between different development environments

Example prompts for the agent

  • Remember that our API responses must follow JSON:API specification.
  • Recall what database engine and migration tool we chose for the backend.
  • Review recent memory entries stored about our testing conventions.

How to install Epitome

Platform CLI: remote server

claude mcp add --transport http epitome https://epitome.fyi/mcp

Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more

Questions about Epitome

How to install Epitome in Claude Code?

Run claude mcp add --transport http epitome https://epitome.fyi/mcp. When connecting to the hosted service, pass your authorization header with the API key.

What MCP tools does Epitome provide?

It exposes three tools: recall to search memories, memorize to write new context, and review to inspect stored entries.

Can Epitome be self-hosted?

Clone the repository, create your .env configuration file, and start the services using docker compose up -d.

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