68 lines
3.0 KiB
Markdown
68 lines
3.0 KiB
Markdown
# Agents over MCP
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Fluksio exposes flow tools over MCP. An agent can inspect, edit, publish,
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and run flows with the permissions of the user who authorizes it.
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## Connect an agent
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Set `MCP_ENABLED=true` in the engine's environment and restart it. The Python
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package defaults to off; the Docker template enables it.
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Configure your MCP client with an HTTP endpoint:
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- Local Docker stack: `http://api.localhost/mcp`
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- Deployment: `https://api.<your-domain>/mcp`
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The client registers, opens browser authorization, and receives an OAuth
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token after you approve access. The issuer and browser redirects use
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`DOMAIN`, `ENVIRONMENT`, and `FRONTEND_HOST`, so configure those for the
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addresses your client and browser can reach.
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Manage registered clients under **Admin → Agents**. Revoking a client
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invalidates its access. MCP uses a separate signing key at
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`OAUTH_PRIVATE_KEY_FILE`; rotating that key invalidates all MCP tokens.
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MCP is not forwarded by the [portal tunnel](../interface/portal.md).
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Connect directly to the instance's API host.
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## Available tools
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| Task | Tools |
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| Inspect flows | `list_flows`, `get_flow`, `get_node_source`, `list_node_types`, `get_graph`, `list_shared_nodes` |
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| Inspect values | `get_flow_state`, `get_message_history` |
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| Inspect the instance | `list_secrets` (names only), `get_modules`, `get_health`, `get_metrics`, `list_failures`, `list_runs` (live cascades) |
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| Edit flows | `save_flow`, `save_node_source`, `validate_flow`, `publish_flow`, `discard_draft`, `delete_flow` |
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| Operate flows | `run_flow`, `trigger_node`, `start_flow`, `stop_flow`, `pause_flow`, `resume_flow`, `cancel_node` |
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| Install node packages | `apply_modules` |
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Tools call the same API as the browser. Drafts, validation, version checks,
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and superuser restrictions apply. Secrets cannot be read back.
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A useful workflow: ask the agent to inspect the flow, save a draft, and
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validate it. Review the draft before asking it to publish. The agent has
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a publish tool, so make your intent explicit.
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## The assistant
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A superuser configures an OpenAI-compatible provider under
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**Settings → Assistant**, with a base URL, API key, and model. This enables
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the dashboard's Assistant entry for signed-in users.
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The assistant uses the same tools with your own permissions. Draft edits
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appear in the editor, and each answer includes a tool trace. Conversations
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are stored per user on the instance; the bin button clears yours.
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`MCP_ENABLED` is only needed for external clients, so the built-in assistant
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works without it.
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## Control
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A live [Wren node](../reference/node-types.md#wren) with both `prompt` and
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`actions` wired adds a **Control** tab to the chat. It uses the node's local
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model and needs no assistant provider.
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Choose a node, type a command, and inspect the reported actions: target
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message, value, confidence, and whether each action was applied.
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The node's `apply` and `min_confidence` settings decide whether it writes
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to devices. Control conversations stay in the browser and clear on reload.
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