FleetQ — AI Agent Mission Control

# FleetQ > FleetQ is an AI agent mission-control platform. It runs autonomous > agents, multi-agent crews, and visual workflows against inbound > signals, with human-in-the-loop approvals, budget enforcement, and > a full audit trail. Every platform capability is exposed to agents > over the Model Context Protocol (MCP) — anything a human can do in > the UI, an agent can do too. ## For agents FleetQ ships a Model Context Protocol server. Point any MCP client (Claude, Cursor, Codex, or your own agent) at it and you get native tools for the whole platform — no custom integration code. - MCP endpoint (HTTP/SSE): `POST https://fleetq.net/mcp` — authenticate with a Sanctum bearer token. - MCP endpoint (local stdio): `php artisan mcp:start agent-fleet`. - 657+ MCP tools across agents, crews, experiments, workflows, signals, outbound delivery, approvals, budget, memory, and marketplace. - Discovery document: [https://fleetq.net/.well-known/fleetq](https://fleetq.net/.well-known/fleetq) - Full agent-readable docs: [https://fleetq.net/llms-full.txt](https://fleetq.net/llms-full.txt) ## Capabilities - Agents — create, configure, and run autonomous AI agents (role/goal/backstory, skills, tools, provider BYOK). - Crews — multi-agent teams with coordinator/QA roles and consensus patterns. - Experiments — a 20-state pipeline from signal to delivered outcome. - Workflows — visual DAG builder; agent, conditional, switch, and human-task nodes. - Signals — 30+ inbound connectors (webhooks, RSS, IMAP, GitHub, Slack, Sentry…). - Outbound — email (SMTP or Resend), webhooks, and chat-channel delivery. - Audiences — team-scoped contact lists with subscription topics and unsubscribe handling, fed by delivery webhooks. - Approvals — human-in-the-loop gates and human tasks with SLA escalation. - Budget — credit ledger, cost forecasting, and kill switches. ## Links - API documentation (OpenAPI 3.1): [https://fleetq.net/docs/api](https://fl

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