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| Author | SHA1 | Date | |
|---|---|---|---|
| b4488b224f | |||
| 608dccc9a7 |
@@ -42,7 +42,7 @@ Common runtime environment variables:
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```bash
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WORKSPACE_ID=ws-123
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WORKSPACE_CONFIG_PATH=/configs
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PLATFORM_URL=http://host.docker.internal:8080
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PLATFORM_URL=http://platform:8080
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PARENT_ID=
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AWARENESS_URL=http://awareness:37800
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AWARENESS_NAMESPACE=workspace:ws-123
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@@ -929,7 +929,7 @@ Postgres + Redis + Langfuse only (for local development without containerized wo
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|----------|---------|---------|
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| `WORKSPACE_ID` | `workspace-default` | Unique workspace identifier |
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| `WORKSPACE_CONFIG_PATH` | `/configs` | Config directory mount |
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| `PLATFORM_URL` | `http://host.docker.internal:8080` | Platform connection |
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| `PLATFORM_URL` | `http://platform:8080` | Platform connection |
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| `PARENT_ID` | Empty | Parent workspace ID (set if nested) |
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| `AWARENESS_URL` | Optional | Awareness service |
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| `AWARENESS_NAMESPACE` | Optional | Scoped namespace for awareness memory |
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@@ -66,7 +66,7 @@ WORKSPACE_ID= # assigned by platform on provision
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WORKSPACE_CONFIG_PATH= # path to config folder inside container
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MODEL_PROVIDER= # e.g. anthropic:claude-sonnet-4-6
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TIER= # 1, 2, 3, or 4
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PLATFORM_URL= # http://host.docker.internal:8080 (in Docker) or http://localhost:8080 (on host)
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PLATFORM_URL= # http://platform:8080
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PARENT_ID= # set by platform during team expansion (empty for top-level)
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ANTHROPIC_API_KEY= # or OPENAI_API_KEY, etc.
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LANGFUSE_HOST= # http://langfuse-web:3000 (internal container port; host-mapped to :3001)
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@@ -42,6 +42,8 @@ For SaaS deployments, set `MOLECULE_URL` to your tenant URL:
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"MOLECULE_URL": "https://your-org.moleculesai.app"
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```
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Auth via `MOLECULE_API_KEY` is planned for a future release.
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### Verify
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Once configured, your MCP client should show 87 Molecule AI tools. Test with:
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@@ -152,6 +154,11 @@ The MCP server exposes tools across these categories:
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| Variable | Default | Description |
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|---|---|---|
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| `MOLECULE_URL` | `http://localhost:8080` | Platform API URL |
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| `MOLECULE_API_KEY` | — | Bearer token for platform authentication (planned) |
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## Transport
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The MCP server uses **stdio transport** — the client (Claude Code, Cursor, etc.) spawns the server as a child process and communicates via JSON-RPC over stdin/stdout. Configure in your AI client's `mcp.json` as shown in Quick start above.
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## Troubleshooting
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