MCP server

agentcheck

io.github.agentwares/agentcheck

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

11

Token cost

About 4,744 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"agentcheck":{"type":"http","url":"https://agentwares-agentcheck.vercel.app/api/mcp"}}}

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agentcheck","server_url":"https://agentwares-agentcheck.vercel.app/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agentcheck","server_url":"https://agentwares-agentcheck.vercel.app/api/mcp"}

Tools

• agentcheck_add_check ~727 tokens
  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 answe
• agentcheck_api_sunsets ~712 tokens
  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-rpc, exchange-online ews, stripe 2024-06-20). For each, return
• agentcheck_create_target ~1529 tokens
  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 stat
• agentcheck_get_pricing ~106 tokens
  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 ~200 tokens
  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 ke
• agentcheck_list_incidents ~129 tokens
  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_model_retirements ~330 tokens
  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 deprecation pages (OpenAI API, Claude API, Gemini API, Vertex AI):
• agentcheck_promote_trace ~161 tokens
  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 ~425 tokens
  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 nigh
• agentcheck_run_now ~146 tokens
  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_statuspage_preview ~279 tokens
  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://status.example.com/history or the JSON URL. Use it before POST /a

Browse

• Claude tools
• GitHub tools
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• Phone calls
• CRM
• Payments

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