agentcheck MCP Server

About agentcheck

Drift/regression monitoring for production AI agents and MCP servers. Checks a server answers and whether its tool catalog changed, watches hourly, emails on outage, and reports model retirements and pricing changes. Input: an MCP server URL. Use it to monitor a production agent or server.

agentcheck tools (11)

Read from the live server on Oct 30, 2026. These are the tools your AI assistant can call once connected.

agentcheck_get_status

Current status of a public monitored target: overall state, uptime over 24h/7d/30d, last check time, last nightly scores, open incidents and the badge/status URLs. Use the owner (GitHub login) and target slug from the status page URL https:

agentcheck_get_pricing

Machine-readable pricing for agentcheck: tiers with monthly USD price, target limits, check interval and features, plus per-run add-ons. Same data as /pricing.json. No API key needed.

agentcheck_model_retirements

Is this model retiring? Pass model IDs as your code or config names them (gpt-5-mini, claude-sonnet-4-5-20250929, gemini-2.5-flash, openai/o3-mini). For each, returns every announced shutdown on OpenAI's, Anthropic's and Google's own deprec

agentcheck_api_sunsets

When does the API version this code pins stop working, and what happens then? Pass provider and version pairs as your code pins them (shopify 2025-10, meta v21.0, google-ads v22, hubspot v1, twilio-flex 2.16.2, twilio-notify v1, keap xml-rp

agentcheck_statuspage_preview

Read a public Atlassian Statuspage page once: its name, overall status, components (id, name, status, group) and unresolved incidents, from the page's own /api/v2/summary.json. Pass any address on the page: status.example.com, https://statu

agentcheck_create_target

Enroll something to monitor: an http endpoint (JSON or OpenAI-style chat), a remote MCP server (Streamable HTTP url) or an A2A agent (origin with /.well-known/agent-card.json). Pass `checks` to create checks in the same call (POST /api/v1/p

agentcheck_add_check

Add a check to one of your targets. A check runs an input (http path/prompt, mcp tool call, a2a message) on a schedule and judges the answer with a golden: exact, contains, regex and json_schema cost nothing; rubric and baseline use the LLM

agentcheck_run_now

Run every check of one of your targets immediately (outside the schedule) and return pass/fail per check with latency, judge cost and any incident opened or closed. Use it right after enrolling, or to confirm a fix. Requires an API key.

agentcheck_record

Record one production interaction with your agent (the prompt or messages, the final answer, the tools it called, optionally the model) as a trace on a target. Call it from your agent or from a proxy in front of it after each task; promote

agentcheck_promote_trace

Turn an imported or recorded trace into a replayable check whose golden is the recorded outcome (tool sequence + final-answer rubric). The check runs daily and in the nightly replay (Pro). Returns the check. Requires an API key.

agentcheck_list_incidents

Open and recent incidents across your targets (or one target): when they opened/closed, the failing check and the cause. Requires an API key.

How to connect agentcheck to Claude, Cursor or VS Code

agentcheck runs as a hosted remote MCP server at https://agentwares-agentcheck.vercel.app/api/mcp. Add that URL to your MCP client's config (Claude Code, Cursor, Windsurf or VS Code) and the tools appear immediately, no install required.

{
  "mcpServers": {
    "agentcheck": {
      "url": "https://agentwares-agentcheck.vercel.app/api/mcp"
    }
  }
}

Claude Code: claude mcp add --transport http agentcheck https://agentwares-agentcheck.vercel.app/api/mcp. Servers that require OAuth or an API key will prompt on first use.