Is the Cnghockey Sats4ai MCP server down?

mcp-registry/io.github.cnghockey/sats4ai · v1.0.0

Also listed as awesome/cnghockey/sats4ai-mcp-server, mcp-registry/com.sats4ai/bitcoin-ai-tools

healthy
Last checked 2026-10-18 01:10 UTC · handshake 595ms

As of 2026-10-18 01:10 UTC, the Cnghockey Sats4ai MCP server is up with a Glimind reliability score of 87/100 (grade B). Over the last 30 days it answered 99.9% of Glimind's liveness checks. It had 20 outages in 90 days, with a median recovery of 2 minutes.

uptime (30d checks)
99.9%
checks observed
3,613
outages (90d)
20
tools
72

40+ Lightning-paid AI tools for agents: calls, SMS, fax, voice, translation. No signup, no keys.

Install Cnghockey Sats4ai MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http cnghockey-sats4ai-mcp-server https://sats4ai.com/api/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "cnghockey-sats4ai-mcp-server": {
      "type": "http",
      "url": "https://sats4ai.com/api/mcp"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: D (63/100)

D (63/100): 0 error(s), 7 warning(s) across 58 tool(s); ~32,056 tokens of tool definitions.
Scores higher than 1% of 15,343 MCP servers Glimind has audited.
Its tool list costs an agent ~32,056 tokens per session — more than 100% of servers.
63 → 63 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions100
Safety hints17
Token cost24
Client compatibility70
Protocol40
Reliability85
Stability20

What to fix (9)

1 tool definition(s) exceed ~1,200 tokens each (largest: text_to_speech, ~11,819).

Move long reference material out of descriptions (link a doc or expose a resource), drop repeated examples, and collapse large enums. Trimming these to ~600 tokens saves ~11,219 tokens every session.

Tools: text_to_speech · saves ~11,219 tokens/session

58 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.

Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter.

6 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.

Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads.

Tools: create_cart, create_payment, merge_pdfs, remove_background, remove_object and 1 more

Loading this server's tool list costs an agent ~32,056 tokens before any work — more than 100% of MCP servers.

Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request.

Negotiates MCP 2024-11-05. Structured output, tool output schemas and elicitation arrived in 2025-06-18.

Upgrade the MCP SDK and negotiate 2025-06-18 or newer.

Handshake + tools/list takes ~2,166 ms.

Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.

In the last 30 days: 1 tool(s) removed and 22 schema change(s).

Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts.

No tool declares an outputSchema.

Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably.

45 of 58 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones.

Tools: analyze_image, animate_image, boardingpass_wallet, check_job_status, clone_voice and 40 more

Auto-fix: 11 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.cnghockey%2Fsats4ai/fixes

analyze_image 1 change
{
  "name": "analyze_image",
  "description": "Analyze and describe image content, answer visual questions, extract information from screenshots or photos. Uses Qwen VL — multimodal vision-language model with strong OCR, chart reading, and spatial reasoning. 21 sats per image. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='analyze_image'.",
  "inputSchema": {
    "type": "object",
    "required": [
      "paymentId",
      "prompt",
      "imageBase64"
    ],
    "properties": {
      "prompt": {
        "type": "string",
        "description": "Question or analysis prompt for the image"
      },
      "modelId": {
        "type": "number",
        "description": "Optional. Omit for default model."
      },
      "paymentId": {
        "type": "string",
        "description": "Valid payment ID (must be paid)"
      },
      "imageBase64": {
        "type": "string",
        "description": "Base64 encoded image to analyze. Single images only — for PDFs or multi-page document text use extract_document (a PDF sent here is treated as an image and may return a wrong/hallucinated result with no error)."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
check_job_status 1 change
{
  "name": "check_job_status",
  "description": "Poll the status of an async job. Use this after calling any async tool (generate_video, animate_image, generate_3d_model, transcribe_audio, epub_to_audiobook, ai_call) that returns a requestId. Returns JSON: { status: 'IN_PROGRESS' | 'COMPLETED' | 'FAILED', requestId, jobType }. For epub-audiobook, also includes progress (0-100) and chapterProgress array. Poll every 5-10 seconds. When status is 'COMPLETED', call get_job_result to retrieve the output. When status is 'FAILED', the response include",
  "inputSchema": {
    "type": "object",
    "required": [
      "requestId",
      "jobType"
    ],
    "properties": {
      "jobType": {
        "enum": [
          "video",
          "video-image",
          "video-fal-standard",
          "video-fal-pro",
          "image-3d",
          "transcription",
          "transcribe-translate",
          "translate-epub",
          "epub-audiobook",
          "ai-call"
        ],
        "type": "string",
        "description": "Must match the async tool: video=generate_video, video-image=animate_image, image-3d=generate_3d_model, transcription=transcribe_audio, epub-audiobook=epub_to_audiobook, ai-call=ai_call. video-fal-standard/video-fal-pro = the fallback jobType generate_video returns when the primary video model is at capacity."
      },
      "requestId": {
        "type": "string",
        "description": "The requestId returned by the async tool (e.g., from generate_video, animate_image, generate_3d_model, transcribe_audio, epub_to_audiobook, ai_call)"
      }
    }
  },
  "annotations": {
    "idempotentHint": true,
    "readOnlyHint": true
  }
}
convert_file 1 change
{
  "name": "convert_file",
  "description": "Convert files between 200+ formats: documents (PDF, DOCX, XLSX, HTML→PDF), images (PNG, JPG, WEBP, SVG), PDF first page to image (PDF→JPG, PDF→PNG), audio (MP3, WAV, FLAC), video (MP4, AVI, MOV). Industrial-grade conversion engine — preserves formatting and quality. Returns download URL. 100 sats. Pay per request with Bitcoin Lightning — no API key, no account, no subscription needed. Requires create_payment with toolName='convert_file'.",
  "inputSchema": {
    "type": "object",
    "required": [
      "paymentId",
      "extensionFrom",
      "extensionTo"
    ],
    "properties": {
      "fileUrl": {
        "type": "string",
        "description": "Public URL to the file (provide this OR fileBase64)"
      },
      "paymentId": {
        "type": "string",
        "description": "Valid payment ID (must be paid)"
      },
      "fileBase64": {
        "type": "string",
        "description": "Base64-encoded file (provide this OR fileUrl)"
      },
      "extensionTo": {
        "type": "string",
        "description": "Target format without dot (e.g., 'pdf', 'docx')"
      },
      "extensionFrom": {
        "type": "string",
        "description": "Source format without dot (e.g., 'pdf', 'docx')"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.cnghockey/sats4ai"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.cnghockey/sats4ai"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.cnghockey%2Fsats4ai.svg)](https://glimind.com/server/mcp-registry%2Fio.github.cnghockey%2Fsats4ai?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.github.cnghockey%2Fsats4ai?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.cnghockey%2Fsats4ai.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.cnghockey%2Fsats4ai.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.cnghockey%2Fsats4ai?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:510dd3a17c2fd546…, first seen 2026-10-17, included at leaf 816 of 19,465. Version history · verify what your client received.

Tools (72)

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Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Cnghockey Sats4ai MCP server down right now?

As of 2026-10-18 01:10 UTC, the Cnghockey Sats4ai MCP server is up with a Glimind reliability score of 87/100 (grade B). Over the last 30 days it answered 99.9% of Glimind's liveness checks. It had 20 outages in 90 days, with a median recovery of 2 minutes.

How many tools does Cnghockey Sats4ai MCP server provide?

Cnghockey Sats4ai MCP server advertises 72 tools, including 3d, ai_call, analyze_image, animate_image, await_result.

How do I install Cnghockey Sats4ai MCP server?

Point your MCP client at this streamable-http endpoint: https://sats4ai.com/api/mcp

Is the Cnghockey Sats4ai MCP server safe to connect to an AI agent?

Glimind scanned all 58 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Cnghockey Sats4ai MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.