Agent Fleet O MCP Server

This server does not declare environment variables.

• admin_managetool

  Super admin operations (requires admin role). Actions: team_suspend, team_billing, billing_credit, billing_refund, security_overview, user_revoke_sessions, user_send_password_reset. Note: feedback tools not available in cloud.

• agent_advancedtool

  Advanced agent operations. Actions: config_history (agent_id), rollback (agent_id, version), runtime_state (agent_id), skill_sync (agent_id, skill_ids), tool_sync (agent_id, tool_ids), feedback_submit (agent_id, rating, comment), feedback_l

• agent_managetool

  Manage AI agents. Actions: list (filter by status, limit), get (agent_id), create (name, role, goal, provider, model), update (agent_id + fields), delete (agent_id, confirm=true), toggle_status (agent_id), templates (list agent templates).

• approval_managetool

  Manage approvals and human tasks. Actions: list (status filter), approve (approval_id, comment), reject (approval_id, reason), complete_human_task (approval_id, form_data), webhook_config (approval_id, webhook_url).

• artifact_managetool

  Manage experiment/workflow artifacts. Actions: list (experiment_id or project_run_id), get (artifact_id), content (artifact_id, version), download (artifact_id — returns download URL).

• assistant_managetool

  Manage AI assistant conversations. Actions: conversation_list, conversation_get (conversation_id), send_message (conversation_id, message), conversation_clear (conversation_id).

• boruna_managetool

  Manage Boruna evaluation framework. Actions: run (agent_id, benchmark), validate (run_id — validate results), evidence (run_id — get evidence details), capability_list (list evaluation capabilities), skill_manage (manage Boruna skills).

• bridge_managetool

  Manage local bridge agent relay. Actions: status (connection status), endpoint_list (list discovered endpoints), endpoint_toggle (endpoint_id, enabled), disconnect (terminate bridge connection).

• budget_managetool

  Manage team budget and costs. Actions: summary (get budget overview), check (check if budget allows operation, estimated_cost), forecast (period, granularity).

• chatbot_managetool

  Manage chatbot instances. Actions: list, get (chatbot_id), create (name, agent_id, config), update (chatbot_id + fields), delete (chatbot_id), toggle_status (chatbot_id), token_create (chatbot_id), token_revoke (chatbot_id, token_id), sessi

• credential_managetool

  Manage external service credentials. Actions: list, get (credential_id), create (name, type, secret_data), update (credential_id + fields), delete (credential_id), rotate (credential_id), oauth_initiate (provider, scopes), oauth_finalize (p

• crew_managetool

  Manage multi-agent crews. Actions: list, get (crew_id), create (name, process_type, agents), update (crew_id + fields), execute (crew_id, goal), execution_status (crew_id, execution_id), executions_list (crew_id).

?What is Agent Fleet O?

Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 670+ MCP tools, human-in-the-loop approvals. Works with Claude, GPT-4o, Gemini, Ollama, Codex.

?How do I install Agent Fleet O?

Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.

?Is Agent Fleet O official?

No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.

?How is the trust score calculated?

This listing scores 39 (Limited). The formula is published on the methodology page.

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