← telemeter.ai

INDIVIDUAL MCP TOOL

context-window-checker

Check whether a prompt (and its reserved completion) fits any model’s context window.

telemeter.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://telemeter.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for context-window-checker and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

telemeter.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.telemeter-free-tools]
url = "https://telemeter.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "telemeter-free-tools": {
      "type": "http",
      "url": "https://telemeter.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: telemeter-free-tools
Remote MCP URL: https://telemeter.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "telemeter-free-tools": {
      "url": "https://telemeter.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "telemeter-free-tools": {
      "type": "http",
      "url": "https://telemeter.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "telemeter-free-tools",
  "transport": "streamable-http",
  "url": "https://telemeter.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • llm-cost-calculator — Estimate the monthly cost of any model from your token volumes.
  • llm-token-counter — Count the tokens in any prompt — exact for OpenAI models, estimated for Claude and Gemini.
  • llm-model-comparison — Compare every model side by side — price (verified or labelled pending), context window, and capabilities.
  • otel-validator — Check an OpenTelemetry span against the gen_ai.* semantic conventions — what conforms, what is missing, what is deprecated.
  • prompt-caching-savings — See how much prompt caching cuts your bill on any model — from your reusable prefix, request volume, and cache hit rate.
  • self-host-breakeven — Find the monthly token volume where running your own GPUs beats paying per-token API pricing.
  • eu-ai-act-classifier — Classify an AI system into its EU AI Act risk tier — with the governing Article and Annex cited for every outcome.
  • cost-spike-simulator — Project how your monthly bill moves when traffic, prompt size, or output length grows — and see which lever drives it.