What is agent-tools.cloud?
It is an open directory of x402 paid services with a free MCP discovery endpoint, hosted at agent-tools.cloud.
@AgentTools-Cloud
Basic information
Discover agent-callable resources by intent — x402 paid services, MCP servers and A2A agents — via the agent-tools.cloud directory. 9 tools: search/get/list_categories (x402), search_mcp_servers/get_mcp_server, search_agents/get_agent, search_all, stats.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agent-tools": {
"command": "uvx",
"args": [
"agent-tools-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Agent Tools Mcp powers agent-tools.cloud — an open directory of x402 paid services with a free MCP discovery endpoint. It provides a directory site, API endpoints for service search and submission, a streamable HTTP MCP discovery server, an A2A agent, and a standalone PyPI package (agent-tools-mcp). It is also listed on Smithery.
Deploy via systemd with configuration from .env.example; required environment variables include UPSTREAM_BASE_URL, UPSTREAM_API_KEY, and AGENT_TOOLS_ASK_* settings for the LLM backend. Smoke-test with curl against endpoints like /healthz or /api/v1/ask. For MCP clients, install the agent-tools-mcp PyPI package or call the hosted /mcp-discovery/ endpoint.
scan_mcp_safety tool to vet MCP servers for malware/prompt-injectionIt is an open directory of x402 paid services with a free MCP discovery endpoint, hosted at agent-tools.cloud.
No. They were retired after 30 days of zero external conversions. The server now serves only the directory site and the free MCP discovery server.
Install the standalone PyPI package `agent-tools-mcp` (Apache-2.0 licensed) or call the hosted endpoint at `POST /mcp-discovery/` with a standard MCP initialize request.
It vets an MCP server by endpoint URL for malware, prompt-injection lures, and tool-poisoning coercion using deterministic static rules and an optional frontier-LLM second opinion — without executing code.
Python with uvicorn, an SQLite database path, and environment variables for upstream LLM API keys if using the ask, safety, or models features.

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