agentcheck MCP Server

by agentwares Your server? Claim it

answering

agentcheck is answering right now. Last checked 11 min ago. It exposes 8 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 4 days of history · worst day 38%

4 days agonow

83.7%

Uptime 24h

77 of 92 checks

Tools

read from the server

295 ms

Response time

average over 24h

open, no key

Access

streamable-http

agentcheck does not always answer

Over the last week it answered 82.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.agentcheck]
url = "https://agentwares-agentcheck.vercel.app/api/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 8

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

agentcheck

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 judge (baseline = same outcome as the last known-good answer). Returns the check id. Requires an API key.

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/probe proposes three). Returns the target id, the public status page, the badge SVG URL and a README snippet. The first check runs on the next minute tick; call agentcheck_run_now to run immediately. Free tier: 1 target, hourly; Starter+: 5-minute checks. Requires an API key.

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_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://agentwares-agentcheck.vercel.app/<owner>/<slug>. No API key needed.

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.

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_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 a good trace with agentcheck_promote_trace to replay it nightly and catch regressions. Requires an API key.

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.

Endpoints

URL	Transport	State	Latency	Checked
https://agentwares-agentcheck.vercel.app/api/mcp	streamable-http	answering	474 ms	11 min ago

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agentcheck — questions

Answers built from our own checks of this server.

What can agentcheck do?

It exposes 8 tools, read directly from the server on our last check. Among them: agentcheck_add_check, agentcheck_create_target, agentcheck_get_pricing, agentcheck_get_status, agentcheck_list_incidents, agentcheck_promote_trace and 2 more. 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 agentcheck working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 77 of 92 checks got a reply (83.7%), average response time 295 ms. The bar chart above shows every period we have measured.

Is agentcheck still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect agentcheck?

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

Does agentcheck need an API key?

No. agentcheck completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is agentcheck?

It answers our handshake in 295 ms on average, which is faster than 54% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.