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LLM Latency Tracker

R0· no sign-in

Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.

v1.1.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality79good
Trust93of 100
Uptime, 30 days99%
Latency p50290 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "llm-latency-tracker": {
      "type": "http",
      "url": "https://llmlatency.dev/mcp"
    }
  }
}
claude mcp add --transport http llm-latency-tracker https://llmlatency.dev/mcp
[mcp_servers.llm-latency-tracker]
url = "https://llmlatency.dev/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "llm-latency-tracker": {
      "type": "remote",
      "url": "https://llmlatency.dev/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "llm-latency-tracker": {
      "type": "http",
      "url": "https://llmlatency.dev/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=llm-latency-tracker&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbGxtbGF0ZW5jeS5kZXYvbWNwIn0%3D"
}
{
  "servers": {
    "llm-latency-tracker": {
      "type": "http",
      "url": "https://llmlatency.dev/mcp"
    }
  }
}
{
  "mcpServers": {
    "llm-latency-tracker": {
      "httpUrl": "https://llmlatency.dev/mcp"
    }
  }
}
extensions:
  "llm-latency-tracker":
    enabled: true
    name: "llm-latency-tracker"
    type: streamable_http
    uri: "https://llmlatency.dev/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_model_deprecations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_ai_api_latency (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
  • pass
    tools.token_costabout 169 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 169 tokens to load them all · tool set aafeee73d1db · checked 2026-10-20 09:31 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 93 / 100

provenance85
liveness100
freshness85
hygiene100

+repository +dns-namespace +website +reachable +uptime-99% ~updated-64d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://llmlatency.dev/mcp streamable-httpnoneyes99%290 ms2025-06-182026-10-20

Tools (2)

get_ai_api_latencyMeasured latency (TTFB p50/p95) and uptime rankings of AI inference API providers by region, from llmlatency.dev.
get_model_deprecationsAI model deprecation calendar: announced and shutdown dates, replacement models, and how many days of migration notice each provider actually gives (median/min/max). Every entry is verified against the provider own deprecation page.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "dev.llmlatency/llm-latency-tracker",
  "title": "LLM Latency Tracker",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://llmlatency.dev/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/mazamaka/llm-latency-tracker",
    "source": "github"
  },
  "websiteUrl": "https://llmlatency.dev",
  "description": "Measured latency, time to first token and uptime for ~45 AI inference APIs, by region."
}