MCP server

Agent Watch

io.github.entradox/agent-watch

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

Monitoring for the agent economy — liveness, latency, trust scoring for MCP endpoints

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 1,107 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 agent-watch https://agent-watch-api-production.up.railway.app/mcp/

Claude Desktop

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

Codex (config.toml)

[mcp_servers.agent-watch]
url = "https://agent-watch-api-production.up.railway.app/mcp/"

Gemini CLI

{"mcpServers":{"agent-watch":{"httpUrl":"https://agent-watch-api-production.up.railway.app/mcp/"}}}

Cursor

{"mcpServers":{"agent-watch":{"url":"https://agent-watch-api-production.up.railway.app/mcp/"}}}

VS Code

{"servers":{"agent-watch":{"type":"http","url":"https://agent-watch-api-production.up.railway.app/mcp/"}}}

Antigravity

agy mcp add agent-watch https://agent-watch-api-production.up.railway.app/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":"agent-watch","server_url":"https://agent-watch-api-production.up.railway.app/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-watch","server_url":"https://agent-watch-api-production.up.railway.app/mcp/"}

Tools

• aw_alerts ~94 tokens
  Show dead endpoints across the monitored registry (alive=false). Returns up to 500 dead endpoints with names. Use after aw_census or aw_list_monitored to get the actionable dead list. Read-only.
• aw_census ~151 tokens
  Full-census summary of the official MCP registry: 7,454 endpoints probed with real MCP handshakes. Returns alive/dead/unknown counts and percentages. States: alive = MCP initialize succeeded; dead = no answer; unknown = answered but auth-gated (401/403/402) or redirecting — liveness unp
• aw_check_endpoint ~244 tokens
  Probe an MCP or HTTP-402 endpoint now and get its trust verdict. Performs a real MCP initialize handshake (not a ping), measures p50/p95 latency, counts tools, hashes the tool schema (for drift detection), and checks RFC 9728 auth metadata. Returns: alive (bool), name, tool_count, l
• aw_health ~74 tokens
  Liveness check for the Agent Watch API. Returns ok, service name, and version. Call this first to verify connectivity before using other tools.
• aw_list_monitored ~96 tokens
  List all endpoints in the Agent Watch census with their registry names. Returns count and the full endpoint list (URLs). Combine with aw_alerts to find which of these are dead. Read-only.
• aw_watch ~243 tokens
  Add endpoints to your personal watchlist (probed immediately, then every 6h). Plan-limited by the email used at checkout: free 5, Builder ($19/mo) 50, Team ($99/mo) 500 endpoints. Alerts fire on alive→dead transitions and tool-schema drift. Already-watched URLs are returned without re-p
• read_skill ~110 tokens
  Read a product skill file by its skill:// URI. Args: uri: e.g. skill://<product>/<skill-name>/SKILL.md Get valid URIs from `skills_list_tool`.
• skills_list_tool ~95 tokens
  List this product's skills. Each entry carries the SKILL.md URI, its name and description, verbatim frontmatter, and a per-file sha256 manifest. Read a body with `read_skill`.

Browse

• GitHub tools
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