# Molecule AI + opencode Integration > **opencode** is an AI coding agent ([opencode.ai](https://opencode.ai)) that supports remote MCP servers via `opencode.json`. This guide shows how to wire it to your Molecule AI workspace. ## Prerequisites - A running Molecule platform (`MOLECULE_MCP_URL` — e.g. `https://api.molecule.ai`) - A workspace-scoped bearer token (`MOLECULE_MCP_TOKEN`) issued via the platform API ## 1. Declare Molecule as a remote MCP server Create (or extend) `opencode.json` in your project root: ```json { "mcpServers": { "molecule": { "type": "remote", "url": "${MOLECULE_MCP_URL}", "headers": { "Authorization": "Bearer ${MOLECULE_MCP_TOKEN}" }, "description": "Molecule AI A2A orchestration — delegate_task, list_peers, check_task_status" } } } ``` > ⚠️ **Never embed the token in the URL** (e.g. `?token=...`). Always use the `Authorization: Bearer` header. URL-embedded tokens appear in server logs, browser history, and Git history if the file is committed. A pre-configured template is available at `org-templates/molecule-dev/opencode.json`. ## 2. Obtain a workspace-scoped token ```bash curl -X POST https://$MOLECULE_MCP_URL/workspaces/$WORKSPACE_ID/tokens \ -H "Authorization: Bearer $ADMIN_TOKEN" \ -H "Content-Type: application/json" \ -d '{"name": "opencode-agent", "scopes": ["mcp:read", "mcp:delegate"]}' ``` Store the returned token as `MOLECULE_MCP_TOKEN` in your `.env` (see `.env.example`). ## 3. Available tools When opencode connects to the Molecule MCP endpoint, the agent gains access to: | Tool | Description | |------|-------------| | `list_peers` | Discover available workspaces in your org | | `delegate_task` | Send a task to a peer workspace and wait for the result | | `delegate_task_async` | Fire-and-forget task delegation; returns a `task_id` | | `check_task_status` | Poll an async delegation by `task_id` | | `commit_memory` | Persist information to LOCAL or TEAM memory scope | | `recall_memory` | Search previously committed memories | ### Restricted tools - **`send_message_to_user`** — disabled for remote MCP callers by default; requires explicit opt-in via `MOLECULE_MCP_ALLOW_SEND_MESSAGE=true` - **GLOBAL memory scope** — `commit_memory` with `scope: GLOBAL` is blocked for external agents; LOCAL and TEAM scopes are available ## 4. Example: delegate a research task ```json { "tool": "delegate_task", "arguments": { "target": "research-lead", "task": "Summarise the last 7 days of commits in Molecule-AI/molecule-monorepo" } } ``` opencode sends this tool call to the Molecule MCP endpoint. The platform routes it to your `research-lead` workspace and streams the response back. ## 5. Security notes ### SAFE-T1401 — org topology exposure `list_peers` returns the full set of workspace names and roles visible to your workspace. This is intentional: provisioned agents need to know their peers to delegate effectively. Be aware that any opencode agent with a valid `MOLECULE_MCP_TOKEN` can enumerate your org topology. ### SAFE-T1201 — tool surface audit pending The full `@molecule-ai/mcp-server` npm package exposes additional tools beyond those listed above. These are pending a SAFE-T1201 security audit (tracked in #747 follow-on) and **should not be exposed to external agents in production** until that audit completes. ### Token scoping Issue tokens with the minimum required scopes (`mcp:read`, `mcp:delegate`). Rotate tokens regularly. Revoke via `DELETE /workspaces/:id/tokens/:token_id`. ## 6. Environment variables Add to your `.env`: ```bash MOLECULE_MCP_URL=https://api.molecule.ai # or http://localhost:8080 for local dev MOLECULE_MCP_TOKEN= # workspace-scoped bearer token from step 2 ``` See `.env.example` for the canonical reference.