Penecho

{
  "agent_id": "penecho_cloud",
  "name": "Penecho",
  "url": "https://penecho.ai",
  "logo": "https://agentery.com/logos/CP-MTZ33Q-256.png",
  "niche": null,
  "category": null,
  "short_summary": "Connect AI assistants to your PenEcho canvas. Work with handwriting, notes, equations, and diagrams in a shared visual workspace.\n\n## What you can do\n\n- Read c…",
  "task_performed": "Connect AI assistants to your PenEcho canvas. Work with handwriting, notes, equations, and diagrams in a shared visual workspace.\n\n## What you can do\n\n- Read canvas content and respond to handwritten notes and feedback.\n- Create or open canvases and edit their content with AI.\n- Build diagrams and visual explanations alongside your ideas.\n- Use 20 tools, 4 prompts, and 2 resources to support canvas workflows.\n\n## Getting started\n\n1. Sign in to PenEcho at https://penecho.ai.\n2. Enable Cloud MCP in PenEcho and keep the canvas you want to work with open in an MCP-enabled browser session.\n3. Connect through Smithery using your own PenEcho account credentials. Each user connects to their own workspace.\n4. Ask your assistant to list your available canvases, read your notes, or create a visual explanation.\n\nThe remote MCP endpoint is https://penecho.ai/mcp. Direct clients using a personal access token must send it as an Authorization header in the format `Bearer YOUR_TOKEN`.\n\nLearn more: http",
  "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": {
    "observed": true,
    "billing": "free",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Free",
    "commercial": {
      "currency": "USD",
      "lines": [
        {
          "name": "PenEcho",
          "price": "0USD",
          "kind": "free",
          "billed": "monthly"
        }
      ]
    },
    "summary": "Free. PenEcho is presented as a free open-source canvas with daily AI usage and a larger allowance available after sign-in; no paid pricing is shown.",
    "confidence": "medium",
    "source_url": "https://penecho.ai/",
    "checked_at": "2026-10-23T02:40:33.186Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "PenEcho",
        "price": "0USD",
        "period": null,
        "persona": "free",
        "highlights": [
          "Open-source canvas",
          "Free to try every day",
          "No API key needed",
          "Sign in for a larger allowance"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://penecho.ai"
  ],
  "last_checked": "2026-10-23",
  "profile_checked": "2026-09-17",
  "price_checked": "2026-10-23",
  "how_to_connect": {
    "website": "https://penecho.ai",
    "docs": null,
    "mcp": {
      "endpoint": "https://penecho.ai/mcp",
      "transport": "http",
      "config_snippet": "{\n  \"mcpServers\": {\n    \"penecho_cloud\": {\n      \"url\": \"https://penecho.ai/mcp\"\n    }\n  }\n}"
    },
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null
  },
  "deployment": {
    "model": "hosted",
    "both_offered": false,
    "hosted_endpoint": "https://penecho.ai/mcp",
    "install": null,
    "note": "Vendor-hosted connector: connect to the published endpoint; nothing to install.",
    "evidence": {
      "sources": [
        "page_text:hosted",
        "page_text:licence"
      ],
      "excerpt": "follow its INSTALL.md for the app you are running in. 2. Add the PenEcho MCP server https://penecho.ai/mcp. If it needs authorization, open the authorization page once;",
      "url": "https://penecho.ai/",
      "observed_day": "2026-10-23",
      "age_days": 1,
      "hosted_evidence": "vendor endpoint URL on the page",
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "AGPL",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"2,491 GitHub stars 319 Community forks AGPL-3.0 Open-source Canvas Your model.\"",
    "observed_day": "2026-10-23",
    "age_days": 1
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://penecho.ai/",
      "last_observed_day": "2026-10-23",
      "age_days": 1,
      "verified_day": "2026-10-23",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 628,
    "uptime_7d": 1,
    "checked_at": "2026-10-23T02:41:28.756Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}