# FleetQ

> Use this tool when you need to orchestrate and manage AI agents, experiments, and workflows across multiple domains. FleetQ solves problems related to AI agent coordination, experiment management, and workflow automation, providing a comprehensive platform with 200+ tools and integrations. It accepts inputs through streamable HTTP/SSE, OAuth 2.0, and stdio transport, and is ideal for use cases requiring complex AI workflow management, multi-agent collaboration, and human-in-the-loop approval processes.

Canonical page: https://skillsregistry.net/skills/escapeboy-fleetq  
JSON: https://api.skillsregistry.net/v1/skills/escapeboy-fleetq

## Description

**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](https://github.com/escapeboy/agent-fleet-o) · [Website](https://fleetq.net)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/escapeboy/fleetq)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "escapeboy-fleetq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/escapeboy-fleetq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/escapeboy-fleetq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt