Xpersona

Crawler Summary

OrgX answer-first brief

OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — create, review, approve, or reject decisions with audit trails Delegate to specialist agents — spawn tasks for domain agents (engineering, marketing, product, sales, operations, design) and monitor their progress Query organizational memory — search past decisions, artifacts, and learnings across initiatives Track progress — get initiative health, agent status, blockers, and morning briefs Plan and prioritize — score queues, get next-action recommendations, and run autonomous sessions with budget guardrails OrgX is built for solo founders and small teams who work across multiple AI tools and lose context between sessions. Instead of manually shuttling context between Claude, Cursor, and ChatGPT, OrgX holds the organizational graph so every tool sees the same state. OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — cre Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

OrgX 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
Agent DossierSmitherySafety: 86/100

OrgX

OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — create, review, approve, or reject decisions with audit trails Delegate to specialist agents — spawn tasks for domain agents (engineering, marketing, product, sales, operations, design) and monitor their progress Query organizational memory — search past decisions, artifacts, and learnings across initiatives Track progress — get initiative health, agent status, blockers, and morning briefs Plan and prioritize — score queues, get next-action recommendations, and run autonomous sessions with budget guardrails OrgX is built for solo founders and small teams who work across multiple AI tools and lose context between sessions. Instead of manually shuttling context between Claude, Cursor, and ChatGPT, OrgX holds the organizational graph so every tool sees the same state. OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — cre

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

Useorgx

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

Useorgx

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

OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — create, review, approve, or reject decisions with audit trails Delegate to specialist agents — spawn tasks for domain agents (engineering, marketing, product, sales, operations, design) and monitor their progress Query organizational memory — search past decisions, artifacts, and learnings across initiatives Track progress — get initiative health, agent status, blockers, and morning briefs Plan and prioritize — score queues, get next-action recommendations, and run autonomous sessions with budget guardrails OrgX is built for solo founders and small teams who work across multiple AI tools and lose context between sessions. Instead of manually shuttling context between Claude, Cursor, and ChatGPT, OrgX holds the organizational graph so every tool sees the same state. OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP: Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — cre

Full README

OrgX is coordination infrastructure for AI-native teams. It gives your LLM a persistent organizational layer: initiatives with milestones and tasks, human-in-the-loop decision workflows, specialist agent delegation, and cross-session memory that survives tool switching. What you can do with OrgX via MCP:

Scaffold initiatives — decompose a goal into workstreams, milestones, and tasks in one call Manage decisions — create, review, approve, or reject decisions with audit trails Delegate to specialist agents — spawn tasks for domain agents (engineering, marketing, product, sales, operations, design) and monitor their progress Query organizational memory — search past decisions, artifacts, and learnings across initiatives Track progress — get initiative health, agent status, blockers, and morning briefs Plan and prioritize — score queues, get next-action recommendations, and run autonomous sessions with budget guardrails

OrgX is built for solo founders and small teams who work across multiple AI tools and lose context between sessions. Instead of manually shuttling context between Claude, Cursor, and ChatGPT, OrgX holds the organizational graph so every tool sees the same state.

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://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/contract"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/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.

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ShortlistLens

Structured website and review evidence for AI-assisted local-business shortlisting.

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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://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "SMITHERY",
      "generatedAt": "2026-10-09T23:32:25.539Z"
    }
  },
  "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": "Useorgx",
    "href": "https://mcp.useorgx.com",
    "sourceUrl": "https://mcp.useorgx.com",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:33:54.974Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:33:54.974Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-useorgx-orgx-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

Sponsored

Ads related to OrgX and adjacent AI workflows.