MCP serverio.github.agentwares/agentcheck

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

UNRATEDActivestreamable-httpagentwares-agentcheck.vercel.app

Overview

Score?

UNRATED 0.748

of what a free look can see, on 25 looks

Looks

last 8 hr ago

Tools

changed 22 days ago

More info

URL

agentwares-agentcheck.vercel.app/api/mcp

streamable-http

Says it is

agentcheck 0.1.1

protocol 2025-06-18

In the record since

27 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.748 · highest on record 0.8561

Toolsfrom sha256:cfebdad8b2…58f720 · +0 −0 22 days ago

The tools this server lists, read out of the definition it returned
Tool	Schema
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 a	input · no output
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). Pas	input · no output
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 need	input · no output
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 (G	input · no output
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.	input · no output
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 repla	input · no output
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 ag	input · no output
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 af	input · no output

Verify it yourselfnpx teppi-check https://agentwares-agentcheck.vercel.app/api/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1X6NYXA6AA1A6YATG3JY23P