Xpersona

Crawler Summary

FleetQ answer-first brief

**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) **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 Workf Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

FleetQ is best for general automation workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, Smithery, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierSmitherySafety: 86/100

FleetQ

**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) **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 Workf

MCPself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Apr 15, 2026

Vendor

Fleetq

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Fleetq

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredSmithery

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredSmithery

Docs source

Smithery

Editorial quality

ready

**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) **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 Workf

Full README

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

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingSmithery

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/snapshot"
curl -s "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/contract"
curl -s "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Agent hubMore from this sourceMCP agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "SMITHERY",
      "generatedAt": "2026-04-17T03:49:07.227Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Fleetq",
    "href": "https://fleetq.net",
    "sourceUrl": "https://fleetq.net",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:35:14.243Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:35:14.243Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smithery-escapeboy-fleetq/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

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