io.github.agentwares/agentcheck

up checked 2026-11-11T10:38:40.425Z

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Publisher-provided title

agentcheck

Publisher-provided description

Synthetic checks, nightly regression replay and model-drift alerts for AI agents

Summary by lookupd

Lets agents add synthetic checks, replay regression traces, and get uptime, incidents, model retirement and API sunset alerts for endpoints.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http agentcheck https://agentwares-agentcheck.vercel.app/api/mcp

Codex, remote (streamable-http)

codex mcp add agentcheck --url https://agentwares-agentcheck.vercel.app/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (11 tools)

Publisher-provided text

• 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 UR
• 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.j
• 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, r
• 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.
• 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/
• 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/a
• 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: exac
• 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 clo
• 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.
• 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
• 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.

Details

• Version: 0.1.1
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 377 ms
• First indexed: 2026-11-01T09:19:14.243Z
• Last seen in registry: 2026-11-01T09:19:14.252Z
• Repository: https://github.com/agentwares/servers
• Website: https://agentwares-agentcheck.vercel.app

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