The inline JSON example still showed the bare ${MOLECULE_MCP_URL} without
the /workspaces/${WORKSPACE_ID}/mcp path. Updated to match opencode.json fix
in previous commit (9542348). Added WORKSPACE_ID to the env section.
97 lines
4.0 KiB
Markdown
97 lines
4.0 KiB
Markdown
# Molecule AI + opencode Integration
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> **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.
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## Prerequisites
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- A running Molecule platform (`MOLECULE_MCP_URL` — e.g. `https://api.molecule.ai`)
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- A workspace-scoped bearer token (`MOLECULE_MCP_TOKEN`) issued via the platform API
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## 1. Declare Molecule as a remote MCP server
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Create (or extend) `opencode.json` in your project root:
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```json
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{
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"mcpServers": {
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"molecule": {
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"type": "remote",
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"url": "${MOLECULE_MCP_URL}/workspaces/${WORKSPACE_ID}/mcp",
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"headers": { "Authorization": "Bearer ${MOLECULE_MCP_TOKEN}" },
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"description": "Molecule AI A2A orchestration — delegate_task, list_peers, check_task_status"
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}
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}
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}
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```
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> ⚠️ **Never embed the token in the URL** (e.g. `?token=...`). Always use the `Authorization: Bearer` header. URL-embedded tokens appear in server logs, browser history, and Git history if the file is committed.
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A pre-configured template is available at `org-templates/molecule-dev/opencode.json`.
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## 2. Obtain a workspace-scoped token
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```bash
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curl -X POST https://$MOLECULE_MCP_URL/workspaces/$WORKSPACE_ID/tokens \
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-H "Authorization: Bearer $ADMIN_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{"name": "opencode-agent", "scopes": ["mcp:read", "mcp:delegate"]}'
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```
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Store the returned token as `MOLECULE_MCP_TOKEN` in your `.env` (see `.env.example`).
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## 3. Available tools
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When opencode connects to the Molecule MCP endpoint, the agent gains access to:
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| Tool | Description |
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|------|-------------|
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| `list_peers` | Discover available workspaces in your org |
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| `delegate_task` | Send a task to a peer workspace and wait for the result |
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| `delegate_task_async` | Fire-and-forget task delegation; returns a `task_id` |
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| `check_task_status` | Poll an async delegation by `task_id` |
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| `commit_memory` | Persist information to LOCAL or TEAM memory scope |
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| `recall_memory` | Search previously committed memories |
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### Restricted tools
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- **`send_message_to_user`** — disabled for remote MCP callers by default; requires explicit opt-in via `MOLECULE_MCP_ALLOW_SEND_MESSAGE=true`
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- **GLOBAL memory scope** — `commit_memory` with `scope: GLOBAL` is blocked for external agents; LOCAL and TEAM scopes are available
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## 4. Example: delegate a research task
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```json
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{
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"tool": "delegate_task",
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"arguments": {
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"target": "research-lead",
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"task": "Summarise the last 7 days of commits in Molecule-AI/molecule-monorepo"
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}
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}
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```
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opencode sends this tool call to the Molecule MCP endpoint. The platform routes it to your `research-lead` workspace and streams the response back.
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## 5. Security notes
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### SAFE-T1401 — org topology exposure
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`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.
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### SAFE-T1201 — tool surface audit pending
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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.
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### Token scoping
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Issue tokens with the minimum required scopes (`mcp:read`, `mcp:delegate`). Rotate tokens regularly. Revoke via `DELETE /workspaces/:id/tokens/:token_id`.
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## 6. Environment variables
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Add to your `.env`:
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```bash
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MOLECULE_MCP_URL=https://api.molecule.ai # or http://localhost:8080 for local dev
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MOLECULE_MCP_TOKEN= # workspace-scoped bearer token from step 2
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WORKSPACE_ID= # UUID of the agent workspace opencode acts as
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# find it in Canvas sidebar or GET /workspaces
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```
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See `.env.example` for the canonical reference.
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