MCP server
FabTally Guard
io.github.zvmzaretsky/fabtally-guard
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Verify before you act: deps-check, x402-preflight, json-repair & url-read for agents.
Working at last checkAbout 1,187 tokens per request once connected4 tools
https://guard.fabtally.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 1,187 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
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 fabtally-guard https://guard.fabtally.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.fabtally-guard] url = "https://guard.fabtally.com/mcp"
Gemini CLI
{"mcpServers":{"fabtally-guard":{"httpUrl":"https://guard.fabtally.com/mcp"}}}
Cursor
{"mcpServers":{"fabtally-guard":{"url":"https://guard.fabtally.com/mcp"}}}
VS Code
{"servers":{"fabtally-guard":{"type":"http","url":"https://guard.fabtally.com/mcp"}}}
Antigravity
agy mcp add fabtally-guard https://guard.fabtally.com/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":"fabtally-guard","server_url":"https://guard.fabtally.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"fabtally-guard","server_url":"https://guard.fabtally.com/mcp"}
Tools
deps_check~341 tokens
PAID $0.003 (x402, USDC on Base). Vet a software package BEFORE installing it. Returns existence, latest-vs-requested, deprecation/yank markers, known CVEs from OSV.dev, typosquat similarity to popular names, SPDX license, and age/download signals with a plain-English risk verdict. Args: ecosystem (json_repair~318 tokens
PAID $0.002 (x402, USDC on Base). Coerce near-miss LLM JSON to a JSON-Schema-conformant object: strip code fences/prose, fix trailing commas/quotes/unquoted keys, normalise Python literals, balance brackets, then coerce types, apply defaults, and drop extraneous keys. Returns the repaired object ORurl_read~249 tokens
PAID $0.004 (x402, USDC on Base). Fetch a PUBLIC url and return clean Markdown + a token estimate for RAG ingestion — readability extraction, boilerplate stripped. Respects robots.txt, public pages only, no login/paywall bypass, nothing stored. Args: url. Without payment returns the x402 challenge;x402_preflight~279 tokens
PAID $0.002 (x402, USDC on Base). Verify another x402 endpoint BEFORE paying it: does an unpaid call return a valid x402 v2 402 challenge? do the quoted amount/asset/network/payTo match the site's /.well-known/x402? is TLS valid, host reachable, openapi present? Returns pass/fail + per-check reasons
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