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Gumlet

gumlet.com official website

Integrate Gumlet into your AI workflows via the Model Context Protocol (MCP). This server allows agents like ChatGPT, Claude, and custom assistants to interact…

MCP server
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Integrate Gumlet into your AI workflows via the Model Context Protocol (MCP). This server allows agents like ChatGPT, Claude, and custom assistants to interact directly with your Gumlet media library. Key Capabilities: - Asset & Video Management: Query, retrieve, and inspect video processing status and image delivery pipelines directly through conversational agents. - Automated Workflows: Trigger video processing, fetch playback URLs, and manage collection settings programmatically. - Standardized MCP Integration: Designed for zero-friction setup across supported MCP hosts and AI applications.

MCPMCPautonomy: workflow automation

Official Gumlet links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Gumlet good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Gumlet's local market

Nearest products by what they do.

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "gumlet_mcp_server",
  "name": "Gumlet",
  "url": "https://gumlet.com",
  "logo": "https://agentery.com/logos/CP-TVT2JQ.svg",
  "niche": null,
  "category": null,
  "short_summary": "Integrate Gumlet into your AI workflows via the Model Context Protocol (MCP). This server allows agents like ChatGPT, Claude, and custom assistants to interact…",
  "task_performed": "Integrate Gumlet into your AI workflows via the Model Context Protocol (MCP). This server allows agents like ChatGPT, Claude, and custom assistants to interact directly with your Gumlet media library.\n\nKey Capabilities:\n\n- Asset & Video Management: Query, retrieve, and inspect video processing status and image delivery pipelines directly through conversational agents.\n\n- Automated Workflows: Trigger video processing, fetch playback URLs, and manage collection settings programmatically.\n\n- Standardized MCP Integration: Designed for zero-friction setup across supported MCP hosts and AI applications.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://gumlet.com"
  ],
  "last_checked": "2026-09-08",
  "how_to_connect": {
    "website": "https://gumlet.com",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}