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
- macOS
- Windows
Edit
~/Library/Application Support/Claude/claude_desktop_config.json:Claude Code
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:
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:
Cmd+Shift+P → “Preferences: Open User Settings (JSON)”):
Cline
Cline supports remote MCP servers natively. Open Cline’s MCP settings at:- macOS
- Windows
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.jsonZed
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 rungoose configure, choose Add Extension → Remote Extension (Streamable HTTP), and enter the name honcho, the URI https://mcp.honcho.dev, and the header Authorization: Bearer hch-your-key-here.
Or edit your config.yaml directly (on Linux, ~/.config/goose/config.yaml):
Run locally
The hosted URL talks toapi.honcho.dev. If you run Honcho yourself, run the same MCP tools from this repo’s mcp/ package and point them at your instance with HONCHO_API_URL.
Install Bun, clone plastic-labs/honcho, then:
The MCP server always requires a key (
HONCHO_API_KEY for stdio, Authorization: Bearer for HTTP) even when Honcho has AUTH_USE_AUTH=false. In that case any non-empty value works.honcho start starts API, deriver, Postgres, and Redis — not MCP. Use stdio below, or run the HTTP host next to that stack.Stdio
The client spawns the server as a subprocess. Use this when the client only speaks stdio (Claude Desktop, Codex) or you want one process per client.--cwd must point at the mcp/ package so Bun loads bunfig.toml.
Claude Code:
claude_desktop_config.json):
HONCHO_API_URL defaults to https://api.honcho.dev. HONCHO_WORKSPACE_ID is optional; without it, pass workspace_id on each tool call.
HTTP
A long-lived Streamable HTTP process. Clients use the same shape ashttps://mcp.honcho.dev — native HTTP, or mcp-remote if they only speak stdio.
http://127.0.0.1:3000:
mcp-remote:
X-Honcho-Workspace-ID fills workspace_id when the tool argument is omitted.
HOST defaults to 0.0.0.0 (what Docker needs inside the container). For a laptop run, set HOST=127.0.0.1. PORT defaults to 3000. GET /health is unauthenticated. MCP is served at / and /mcp.
Sessions live in process memory — run one replica. Idle sessions expire after MCP_SESSION_IDLE_MS (default 30 minutes); MCP_SESSION_MAX (default 128) caps concurrent sessions.
HTTP in Docker
The HTTP host is what the image runs. Standalone, next to a Honcho API on the host:host.docker.internal may need --add-host=host.docker.internal:host-gateway.
Compose: docker-compose.yml.example already includes an mcp service beside api and deriver (HONCHO_API_URL=http://api:8000, published at 127.0.0.1:3000). After docker compose up -d --build:
http://127.0.0.1:3000 the same way as the HTTP section above.
See the local environment guide for the rest of the stack.
Workspace
Every workspace-scoped tool takes aworkspace_id argument. You can also set X-Honcho-Workspace-ID on the connection; that value fills workspace_id when the argument is omitted.
Use list_workspaces to discover IDs (each result includes metadata and created_at), or create_workspace if none fit, then reuse the same ID for subsequent tool calls.
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.