agentcheck is an MCP server with 8 tools an agent can call, among them agentcheck_add_check, agentcheck_create_target, agentcheck_get_pricing. It answers at https://agentwares-agentcheck.vercel.app/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 21 October 2026, succeeded.
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 Inputs: name, kind, input, golden, intervalSec, targetId |
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 Inputs: name, slug, kind, url, packageSpec, agentCardUrl |
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: Inputs: owner, slug |
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. Inputs: targetId |
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. Inputs: traceId |
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 Inputs: targetId, name, input, output, toolCalls, model |
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. Inputs: targetId |
Every block below points at https://agentwares-agentcheck.vercel.app/api/mcp. Pick your client and copy.
claude mcp add --transport http agentcheck https://agentwares-agentcheck.vercel.app/api/mcp
{
"mcpServers": {
"agentcheck": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://agentwares-agentcheck.vercel.app/api/mcp"]
}
}
}{
"mcpServers": {
"agentcheck": {
"url": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}{
"servers": {
"agentcheck": {
"type": "http",
"url": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}{
"context_servers": {
"agentcheck": {
"url": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentcheck": {
"serverUrl": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentcheck": {
"url": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}name: agentcheck
version: 0.0.1
schema: v1
mcpServers:
- name: agentcheck
type: streamable-http
url: https://agentwares-agentcheck.vercel.app/api/mcp{
"mcpServers": {
"agentcheck": {
"httpUrl": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentcheck": {
"type": "http",
"url": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentcheck": {
"url": "https://agentwares-agentcheck.vercel.app/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fagentwares-agentcheck.vercel.app%2Fapi%2Fmcp&type=streamable_http&id=agentcheck&name=agentcheck
It answered our last check on 21 October 2026 in 184 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
8, as returned by the server's own tools/list on 13 September 2026: agentcheck_add_check, agentcheck_create_target, agentcheck_get_pricing, agentcheck_get_status, agentcheck_list_incidents, agentcheck_promote_trace, agentcheck_record, agentcheck_run_now.
It answered our last check on 21 October 2026 in 184 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://agentwares-agentcheck.vercel.app/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.agentwares. Endpoint host: agentwares-agentcheck.vercel.app. ARD identifier: urn:air:io.github.agentwares:mcp:agentcheck.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.