Is the Lazymac2x Ai Token Counter MCP server down?

mcp-registry/io.github.lazymac2x/ai-token-counter · v2.0.0

healthy
Last checked 2026-10-21 10:53 UTC · handshake 165ms

As of 2026-10-21 10:53 UTC, the Lazymac2x Ai Token Counter MCP server is up with a Glimind reliability score of 95/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 8 minutes.

uptime (30d checks)
100%
checks observed
4,128
outages (90d)
1
tools
4

Cloudflare Workers MCP server: ai-token-counter

Install Lazymac2x Ai Token Counter MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http lazymac2x-ai-token-counter-mcp-server https://api.lazy-mac.com/ai-token-counter/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "lazymac2x-ai-token-counter-mcp-server": {
      "type": "http",
      "url": "https://api.lazy-mac.com/ai-token-counter/mcp"
    }
  }
}

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

Agent-readiness: B (82/100)

B (82/100): 0 error(s), 2 warning(s) across 4 tool(s); ~453 tokens of tool definitions.
Scores higher than 38% of 15,472 MCP servers Glimind has audited.
Its tool list costs an agent ~453 tokens per session — lighter than 95% of servers.
82 → 82 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions100
Safety hints30
Token cost100
Client compatibility70
Protocol40
Reliability100
Stability100

What to fix (3)

4 of 4 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. How to fix →

Tools: count_tokens, estimate_cost, get_model_pricing, list_models

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. How to fix →

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. How to fix →

Auto-fix: 4 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.lazymac2x%2Fai-token-counter/fixes

count_tokens 1 change
{
  "name": "count_tokens",
  "description": "Count tokens for a text string or chat messages array for any supported AI model (GPT-4o, Claude, Gemini, Mistral, Llama).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string",
        "description": "Plain text to count tokens for."
      },
      "model": {
        "type": "string",
        "description": "Model ID, e.g. gpt-4o, claude-sonnet-4. Defaults to gpt-4o."
      },
      "messages": {
        "type": "array",
        "items": {
          "type": "object"
        },
        "description": "Chat messages array in OpenAI/Anthropic format."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
estimate_cost 1 change
{
  "name": "estimate_cost",
  "description": "Estimate the cost of an AI API call given model and token counts or text. Returns input/output/total cost and optional monthly projection.",
  "inputSchema": {
    "type": "object",
    "required": [
      "model"
    ],
    "properties": {
      "text": {
        "type": "string",
        "description": "Text to tokenize for input (if input_tokens not given)."
      },
      "model": {
        "type": "string",
        "description": "Model ID, e.g. gpt-4o, claude-opus-4, gemini-2.0-flash."
      },
      "input_tokens": {
        "type": "integer",
        "description": "Number of input tokens."
      },
      "output_tokens": {
        "type": "integer",
        "description": "Number of output tokens."
      },
      "requests_per_day": {
        "type": "number",
        "description": "If given, adds daily/monthly/yearly cost projection."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_model_pricing 1 change
{
  "name": "get_model_pricing",
  "description": "Get input/output pricing per 1M tokens for a specific AI model.",
  "inputSchema": {
    "type": "object",
    "required": [
      "model"
    ],
    "properties": {
      "model": {
        "type": "string",
        "description": "Model ID, e.g. gpt-4o, claude-haiku-3, llama-3-70b."
      }
    }
  },
  "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.lazymac2x/ai-token-counter"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/io.github.lazymac2x/ai-token-counter"}) 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.lazymac2x%2Fai-token-counter.svg)](https://glimind.com/server/mcp-registry%2Fio.github.lazymac2x%2Fai-token-counter?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fio.github.lazymac2x%2Fai-token-counter?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.lazymac2x%2Fai-token-counter.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.lazymac2x%2Fai-token-counter.svg
   :target: https://glimind.com/server/mcp-registry%2Fio.github.lazymac2x%2Fai-token-counter?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 sha256:4a705e7c9b441ab1…, first seen 2026-10-17, included at leaf 16374 of 39,099. Version history · verify what your client received.

Tools (4)

Compare: most reliable ml servers · most reliable finance servers

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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 Lazymac2x Ai Token Counter MCP server down right now?

As of 2026-10-21 10:53 UTC, the Lazymac2x Ai Token Counter MCP server is up with a Glimind reliability score of 95/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 8 minutes.

How many tools does Lazymac2x Ai Token Counter MCP server provide?

Lazymac2x Ai Token Counter MCP server advertises 4 tools, including count_tokens, estimate_cost, get_model_pricing, list_models.

How do I install Lazymac2x Ai Token Counter MCP server?

Point your MCP client at this streamable-http endpoint: https://api.lazy-mac.com/ai-token-counter/mcp

Is the Lazymac2x Ai Token Counter MCP server safe to connect to an AI agent?

Glimind scanned all 4 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 Lazymac2x Ai Token Counter 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.

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