Skip to main content
The Honcho MCP server gives any MCP-compatible AI tool persistent memory and personalization. Connect it once and your AI assistant learns who you are, remembers your preferences, and gets better over time — across every conversation. Server URL: https://mcp.honcho.dev
You’ll need an API key from app.honcho.dev to use the hosted MCP server.

Client Setup

Pick your client below and add the config. After adding, restart the client fully for changes to take effect.

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
After saving, fully quit and relaunch Claude Desktop. The Honcho tools should appear in the tool picker.
For best results, create a project and paste these instructions into the “Project Instructions” field so Claude knows how to use the memory tools.

Claude Code

Or if you prefer the Claude Code Honcho plugin for a deeper integration with persistent memory, git awareness, and agent skills:

Codex

Add to ~/.codex/config.toml:
Codex only supports stdio transport, so it uses mcp-remote as a bridge. Restart both the Codex CLI and VS Code extension after editing.

Cursor

Cursor supports MCP servers natively via HTTP. Add to your global config at ~/.cursor/mcp.json or per-project at .cursor/mcp.json:
Alternatively, go to Cursor Settings → MCP and add a new HTTP server with the URL and headers above.

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:
Windsurf uses serverUrl instead of url.

VS Code (Copilot Chat)

Add to your workspace .vscode/mcp.json:
Or add to your User Settings JSON (Cmd+Shift+P → “Preferences: Open User Settings (JSON)”):

Cline

Cline supports remote MCP servers natively. Open Cline’s MCP settings at:
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
Or add it via the Cline sidebar: click the MCP Servers icon → ConfigureRemote Servers.

Zed

Add to ~/.config/zed/settings.json:
Zed uses context_servers instead of mcpServers. Native HTTP support requires Zed v0.214.5 or later.

Goose

Goose supports remote MCP servers natively over Streamable HTTP. The easiest way is to run goose configure, choose Add Extension → Remote Extension (Streamable HTTP), and enter the name honcho, the URI https://mcp.honcho.dev, and the headers Authorization: Bearer hch-your-key-here and X-Honcho-User-Name: YourName. Or edit your config.yaml directly (on Linux, ~/.config/goose/config.yaml):
To teach Goose the recommended memory flow, save the instructions into a .goosehints file in your Goose config directory (or a project root). This is Goose’s equivalent of Claude Desktop’s “Project Instructions”. Not sure of your config path? Run goose info.

Optional Configuration

You can customize the assistant name and workspace ID by adding extra headers. Both are optional. Example with all headers (Claude Desktop format):

Using the Tools

Once connected, the Honcho MCP server tells your assistant how to use the tools automatically — it ships usage instructions (the recall → respond → record loop, the full tool list, and reasoning levels) on connect, so there’s nothing extra to configure. If you want to read that guidance yourself, it’s the full instructions.

Verify It Works

After setup, try asking your AI assistant:
“What do you know about me?”
On the first conversation there won’t be much — but after a few exchanges, Honcho’s background reasoning will start building a representation of you. Ask again after a couple of conversations and you’ll see the difference.

Troubleshooting

Need help? Join us on Discord or open an issue on GitHub.