Ezstat MCP Server

EzStat MCP Server

A standalone Model Context Protocol server for EzStat. Let Claude / Cursor / any MCP-compatible agent push and read your metrics natively — no copy-paste, no dashboard hop. This is the product behind the "metrics your agents write and read themselves" positioning: every agent that touches your code can also touch your observability.

The server speaks stdio (the standard transport for local agent runners) and exposes four focused tools. Each tool description is written for an agent audience so the model knows when to call it.

Tools

Tool descriptions are tuned for agent reasoning — see src/server.ts.

Install (Claude Desktop / Claude Code / Cursor)

One-line install (npm/pnpm)

# pnpm
pnpm add -g ezstat-mcp-server

# npm
npm install -g ezstat-mcp-server

Configure the MCP client

Claude Desktop (~/.config/Claude/claude_desktop_config.json on macOS/Linux, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "ezstat": {
      "command": "ezstat-mcp-server",
      "env": {
        "EZSTAT_API_KEY": "ezkey_your_api_key_here"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "ezstat": {
      "command": "ezstat-mcp-server",
      "env": {
        "EZSTAT_API_KEY": "ezkey_your_api_key_here"
      }
    }
  }
}

Get your API key from https://ezstat.dev (it's the "ezkey").

Smithery

npx -y @smithery/cli install ezstat-mcp-server --client claude

Or visit https://smithery.ai/server/ezstat-mcp-server and click Install.

About EzStat

EzStat is a dead-simple hosted metrics service: one HTTP POST in, a live chart out. No SDK, no collector daemon, no YAML, no dashboard builder. Counters and value/gauge stats auto-create on first POST; charts, share/embed, and CSV/JSON export are built in, and Ask-Your-Data (live) answers plain-English questions from your own metrics, with every number verified against the retrieved data before it reaches you.

Flat monthly pricing by tracked stats — $19 / $49 / $149 — plus a card-gated free tier (no charge; see your data live before paying). Your data is yours: export any time, cancel any time. Anomaly detection and metric correlations are live. Features that are not shipped yet (alerts, weekly digest) are marked coming soon on the site rather than sold — what you see live is what works.

Coming from StatHat?

If your api.stathat.com calls stopped and your dashboards went dark: EzStat speaks StatHat's wire format — the same /ez, /c, /v endpoints, same params, same response. The migration is usually one line:

# before
curl -X POST https://api.stathat.com/ez -d "stat=messages sent" -d "ezkey=KEY" -d "count=1"
# after — change the host, use your EzStat key; stats auto-create
curl -X POST https://api.ezstat.dev/ez -d "stat=messages sent" -d "ezkey=EZSTAT_KEY" -d "count=1"

Most StatHat client libraries take a base-URL override in one line. Saved a StatHat CSV/JSON export? The importer recreates your stats and backfills history (8 MB / 500k points per file). Full guide: docs/stathat-migration.md · ezstat.dev/migrate/stathat — including the migrator deal: free tier to see it live first, a 12-month price-lock, and white-glove import for the first 25 migrations.

Why agent-native metrics

Your coding agent deploys, tests, and ships — it should also be the one tracking and reading the numbers. That's this server: metrics your agents write and read themselves. The reasoning: docs/agent-native-metrics.md · comparison with StatHat/StatFlow/Datadog: ezstat.dev/vs.

Environment variables

A starter .env.example is shipped.

How it talks to EzStat

The four tools map to four real EzStat API routes (all auth by EzStat API key):

• track_metric calls the StatHat-compatible EZ ingest ({"ezkey","stat","count"?,"value"?,"t"?}). Counter semantics: omit both count and value to record count=1 (counter +1).
• ask_ezstat calls Ask-Your-Data ({"query":"..."} → {answer, data, intent, ...}). This is the agent read path — count it as an agent read for usage tracking.
• read_stat returns the stat's recent series + summary; pass from/to (Unix seconds) to bound the window. resolution rolls up to minute/hour/day.
• list_stats returns the account's stats; pass type to filter to counter or value.

Build & run locally

pnpm install
pnpm build       # tsc → dist/
pnpm start       # node dist/index.js  (stdio MCP server)
pnpm test        # vitest run  — fully mocked network, no real HTTP
pnpm dev         # tsx watch src/index.ts

pnpm start requires EZSTAT_API_KEY to be set; the server exits with a clear error otherwise (and never logs the key).

Security

• The API key is read only from EZSTAT_API_KEY — never hardcoded, never printed.
• All error messages are scrubbed: the API key is never included in tool results.
• HTTP errors carry a stable machine-readable code (unauthorized, rate_limited, timeout, not_found, server_error, ...) and a human-readable message safe to relay.
• Tests mock the network — no real HTTP leaves the test process.

Registry metadata

For Smithery / mcp.so / Glama listings:

• Name: ezstat-mcp-server
• Display name: EzStat
• Description: Push and read metrics with EzStat from any AI agent. Track counters and values, then ask natural-language questions over your production telemetry.
• Homepage: https://ezstat.dev
• Version: 0.6.0
• Transport: stdio
• License: MIT
• Repository: this package's source

The mcp block in package.json carries the same metadata so registry crawlers pick it up.

Listing steps (what to submit, where)

1. Smithery: push the repo to GitHub, then run npx -y @smithery/cli publish (or submit via the web UI). The shipped smithery.yaml provides the install schema.
2. mcp.so: submit at https://mcp.so/submit with the metadata above + the GitHub URL.
3. Glama: submit at https://glama.ai/mcp/submit.

The package is not published to npm automatically — publish manually after a release review.

License

MIT.