INDIVIDUAL MCP TOOL

audit_tools

Check the tool definitions an agent loads, before they cost tokens or fail: estimated tokens per tool, schema errors per provider (OpenAI, Anthropic, Gemini, Bedrock, MCP; add openai_strict for strict mode) with JSON paths and fixed definitions, tool pairs models will confuse with fix hints, basic poisoning patterns, a grade and a pin (set_id) for diff_tools.

youraitools.conone authenticationAvailability not checked

LIVE ENDPOINT

https://api.youraitools.co/mcp/hub

No auth detected

Connect to this endpoint to inspect the live schema for audit_tools and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

youraitools.co

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.youraitools-hub]
url = "https://api.youraitools.co/mcp/hub"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "youraitools-hub": {
      "type": "http",
      "url": "https://api.youraitools.co/mcp/hub"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: youraitools-hub
Remote MCP URL: https://api.youraitools.co/mcp/hub

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "youraitools-hub": {
      "url": "https://api.youraitools.co/mcp/hub"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "youraitools-hub": {
      "type": "http",
      "url": "https://api.youraitools.co/mcp/hub"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "youraitools-hub",
  "transport": "streamable-http",
  "url": "https://api.youraitools.co/mcp/hub"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

check_agent — Check whether an AI agent is registered in the Concordium Agent Registry (CIS-8004), Active (not revoked), and Verified by Concordium (its Agent Card hash matches the on-chain metadata_hash).
read_url — Fetches one public web page and returns its main content as clean Markdown (boilerplate removed, links absolute) plus title and metadata.
scan_text — Scans untrusted text (web page text, emails, documents, tool results, another agent's message) for prompt injection before your agent acts on it: instruction overrides, jailbreak personas, system-prompt extraction, fake delimiters, exfiltration URLs, tool hijacking, hidden Unicode, encoded payloads.
scan_url — Fetches a public web page and scans its visible text plus hidden HTML (comments, hidden elements, alt/aria/meta text) for prompt injection before your agent browses or summarizes it.
scan_tools — Checks MCP / function-calling tool definitions for tool poisoning (hidden instructions, data-exfiltration requests, hijack attempts in names, descriptions and schemas) before your agent installs or calls them.
check_domain — Check a domain before your agent trusts a link, a sender or a counterparty: does it exist, where does its mail go, SPF and DMARC policy, nameservers, DNSSEC.
check_email — Check an email address an agent is about to store, email or trust: syntax, disposable / throwaway provider, role account, free webmail.
screen_address — Use for ONE wallet: is this address on the US Treasury OFAC SDN sanctions list (digital currency addresses, refreshed daily)?