FleetQ

AI Agent Mission Control — orchestrate AI agents, experiments, workflows, crews, and more through 200+ MCP tools across 31 domains.

CommunityOnlineNo sign-inRU / CISFreeCan modify data

What it can do

  • Agent Manage: 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
  • Project Manage: Manage projects (continuous & one-shot). Actions: list, get (project_id), create (name, type, workflow_id), update (project_id + fields), activate (project_id), pause, resume, restart,
  • Workflow Manage: Manage workflow templates. Actions: list, get (workflow_id), create (name, description), update (workflow_id + fields), validate (workflow_id), activate (workflow_id), duplicate (work

What data it sees

Do you need an account

No: the server works without sign-in

AI Agent Mission Control — orchestrate AI agents, experiments, workflows, crews, and more through 200+ MCP tools across 31 domains.

Key Capabilities

  • Agent Management — Create, configure, and monitor AI agents with roles, goals, skills, and tool assignments
  • Experiment Pipeline — 20-state machine for running AI experiments with scoring, planning, building, approval, and execution stages
  • Visual Workflows — DAG-based workflow builder with conditional branching, human tasks, dynamic forks, and do-while loops
  • Multi-Agent Crews — Assemble agent teams with shared context and coordinated execution
  • Skills & Tools — Manage reusable AI skills and MCP server/tool integrations
  • Human-in-the-Loop — Approval workflows, human tasks with SLA tracking and escalation
  • Budget & Cost Tracking — Credit ledger, spend forecasting, and automatic pause on budget exceeded
  • Knowledge & Memory — Semantic search across knowledge bases and agent memory
  • Signal Processing — Ingest signals from webhooks, RSS, email, Slack, and polling sources
  • Marketplace — Browse and share skills, agents, and workflows
  • Integrations — GitHub, Slack, Notion, Airtable, Linear, Stripe, Telegram, and more

Transport & Auth

  • Streamable HTTP/SSE at https://fleetq.net/mcp
  • OAuth 2.0 authentication (Passport)
  • stdio transport for local CLI agents

Stack

Laravel 12 · PHP 8.4 · PostgreSQL 17 · Redis 7 · Self-hosted · Open-source (AGPL-3.0)

GitHub · Website

How to connect

How to connect FleetQ to Claude

The server address to paste into Claude settings:

https://fleetq--escapeboy.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect FleetQ to ChatGPT

The server address to paste into ChatGPT settings:

https://fleetq--escapeboy.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect FleetQ to Cursor

The server address to paste into Cursor settings:

https://fleetq--escapeboy.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (33)

Raw names from tools/list. Only developers need these.

agent_manageManage 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).
project_manageManage projects (continuous & one-shot). Actions: list, get (project_id), create (name, type, workflow_id), update (project_id + fields), activate (project_id), pause, resume, restart, trigger_run (project_id), archive (project_id), schedule (project_id, frequency, cron), schedule_nlp (project_id, natural language schedule), run_list (project_id), run_get (project_id, run_id).
workflow_manageManage workflow templates. Actions: list, get (workflow_id), create (name, description), update (workflow_id + fields), validate (workflow_id), activate (workflow_id), duplicate (workflow_id), generate (prompt — AI generates workflow from description), estimate_cost (workflow_id), suggestion (context), time_gate (workflow_id, config), execution_chain (workflow_id, chain config).
workflow_graphEdit workflow DAG graph structure. Actions: save_graph (workflow_id, nodes, edges — full graph replace), node_update (workflow_id, node_id, config), node_add (workflow_id, type, config), node_delete (workflow_id, node_id), edge_add (workflow_id, source_id, target_id), edge_delete (workflow_id, edge_id).
experiment_manageManage experiments (pipeline runs). Actions: list, get (experiment_id), create (name, hypothesis, workflow_id), start (experiment_id), pause, resume, retry, retry_from_step (experiment_id, step_id), kill, valid_transitions (experiment_id), cost (experiment_id), steps (experiment_id), share (experiment_id).
crew_manageManage 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).
budget_manageManage team budget and costs. Actions: summary (get budget overview), check (check if budget allows operation, estimated_cost), forecast (period, granularity).
memory_manageManage team memory (semantic store). Actions: search (query, limit), list_recent, stats, add (content, metadata), delete (memory_id), upload_knowledge. Note: supabase_provision not available in cloud.
system_manageSystem administration and monitoring. Actions: dashboard_kpis, health, version_check, audit_log, global_settings, blacklist, security_policy, cache_stats, cache_purge, compute, runpod, browser_relay (relay browser actions to local bridge agent).
credential_manageManage 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 (provider, code).
trigger_manageManage event-driven trigger rules. Actions: list, create (name, event, conditions, actions), update (trigger_id + fields), delete (trigger_id), test (trigger_id, sample payload — dry-run).
skill_manageManage AI skills. Actions: list, get, create, update, delete, versions, guardrail, multi_model, code_exec, browser. Note: supabase_edge_function not available in cloud.
tool_manageManage LLM tools (MCP servers, built-in). Actions: list, get (tool_id), create, update, delete, activate, deactivate, probe_remote (url — test remote MCP server). Note: discover_mcp and import_mcp are not available in cloud.
approval_manageManage 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).
signal_manageManage inbound signals. Actions: list (status, source filter), get (signal_id), ingest (source, payload), connector_binding (connector_id, channel_id), connector_binding_delete (binding_id), contact (action, contact data), imap (mailbox config), email_reply (signal_id, body).
signal_connectorsManage signal connectors and knowledge graph. Actions: ticket, alert, slack, http_monitor, clearcue, intent_score, kg_search, kg_facts, kg_add_fact, inbound_connector, subscription, telegram. Note: supabase connector not available in cloud.
knowledge_manageManage knowledge bases. Actions: list, create (name, description), ingest (knowledge_base_id, content/url), search (knowledge_base_id, query), delete (knowledge_base_id).
artifact_manageManage experiment/workflow artifacts. Actions: list (experiment_id or project_run_id), get (artifact_id), content (artifact_id, version), download (artifact_id — returns download URL).
outbound_manageManage outbound delivery connectors (email, Slack, Telegram, webhook). Actions: list, get (connector_id), save (channel, config), delete (connector_id), test (connector_id, test_payload).
webhook_manageManage outbound webhook endpoints. Actions: list, create (url, events, secret), update (webhook_id + fields), delete (webhook_id).
team_manageManage team settings and members. Actions: get, update, members, local_llm, byok_credential, custom_endpoint (plan-enforced), api_token, notification, join_request (manage team join requests), kms (manage KMS encryption keys).
integration_manageManage third-party integrations. Actions: list, connect (integration_type, credentials), disconnect (integration_id), ping (integration_id — test connection), execute (integration_id, command, params), capabilities (integration_id).
marketplace_manageBrowse and manage marketplace listings. Actions: browse (query, category), publish (listing data), install (listing_slug), review (listing_slug, rating, comment), categories (list categories), analytics (listing_slug).
email_manageManage email themes and templates. Actions: theme_list, theme_get (theme_id), theme_create (name, styles), theme_update (theme_id + fields), theme_delete (theme_id), template_list, template_get (template_id), template_create (name, subject, body, theme_id), template_update (template_id + fields), template_delete (template_id), template_generate (prompt — AI generates template).
chatbot_manageManage 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), session_list (chatbot_id), analytics (chatbot_id), learning_entries (chatbot_id).
bridge_manageManage local bridge agent relay. Actions: status (connection status), endpoint_list (list discovered endpoints), endpoint_toggle (endpoint_id, enabled), disconnect (terminate bridge connection).
assistant_manageManage AI assistant conversations. Actions: conversation_list, conversation_get (conversation_id), send_message (conversation_id, message), conversation_clear (conversation_id).
git_manageManage git repositories and operations. Actions: repo_list, repo_get (repo_id), repo_create (name, url, credentials), repo_update (repo_id + fields), repo_delete (repo_id), repo_test (repo_id — test connection), file_read (repo_id, path, branch), file_write (repo_id, path, content, branch, message), file_list (repo_id, path, branch), branch_create (repo_id, name, source), commit (repo_id, message, files), pr_create (repo_id, title, body, source, target), pr_list (repo_id).
profile_manageManage user profile and account. Actions: get, update (name, email), password_update (current_password, password, password_confirmation), 2fa_status, connected_accounts, social_list, social_unlink.
agent_advancedAdvanced 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_list (agent_id), feedback_stats (agent_id).
evolution_manageManage evolution proposals (AI-suggested improvements). Actions: list (status filter), analyze (proposal_id — detailed analysis), approve (proposal_id), apply (proposal_id — execute the improvement), reject (proposal_id, reason).
boruna_manageManage 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).
admin_manageSuper 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.