AI API Radar MCP Server

by dropwatchhq Your server? Claim it

answering

AI API Radar is answering right now. Last checked 4 min ago. It exposes 4 tools.

Live LLM API price + status radar across 11 providers, with public per-model price HISTORY.

Uptime history 91 days of history · worst day 95%

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

96 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check AI API Radar every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add ai-api-radar --transport http https://aiapi.dropwatchhq.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://aiapi.dropwatchhq.com/mcp

~/.codex/config.toml

[mcp_servers.ai-api-radar]
url = "https://aiapi.dropwatchhq.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "ai-api-radar": {
      "url": "https://aiapi.dropwatchhq.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ai-api-radar": {
      "type": "http",
      "url": "https://aiapi.dropwatchhq.com/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

price

price_change_alerts

Subscribe a webhook to fire when a provider changes prices (or read recent price changes). Pass `webhook` to subscribe (optionally filter by provider and direction 'cut'|'raise'); omit to read recent changes.

price_history

Return the dated $/M-token price history (input + output) for one model. This is AI API Radar's exclusive time-series — useful for spotting price-war cuts and trend.

cheapest

cheapest_model

Return the cheapest LLM API models that meet a constraint, ranked by blended $/M-token cost. Use this to route an agent to the lowest-cost model with enough context that is currently operational. Filter by minimum context window and provider; weight input vs output cost for your workload.

status

status

Current operational status for one or all AI API providers (from each provider's public status page).

Endpoints

URL	Transport	State	Latency	Checked
https://aiapi.dropwatchhq.com/mcp	streamable-http	answering	107 ms	4 min ago

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AI API Radar — questions

Answers built from our own checks of this server.

What can AI API Radar do?

It exposes 4 tools, read directly from the server on our last check. Among them: cheapest_model, price_change_alerts, price_history, status. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is AI API Radar working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 96 ms. The bar chart above shows every period we have measured.

How do I connect AI API Radar?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AI API Radar need an API key?

No. AI API Radar completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is AI API Radar?

It answers our handshake in 96 ms on average, which is faster than 92% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.