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Agent Tools Mcp

@AgentTools-Cloud

Repository

About Agent Tools Mcp

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.

#x402#a2a#discovery#directory#agent-economy

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "agent-tools": {
      "command": "uvx",
      "args": [
        "agent-tools-mcp"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Agent Tools Mcp?

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.

How to use Agent Tools Mcp?

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.

Key features of Agent Tools Mcp

  • Free directory of x402 paid services with faceted search
  • MCP discovery server with streamable HTTP transport
  • A2A JSON-RPC agent for directory search and safety scan
  • scan_mcp_safety tool to vet MCP servers for malware/prompt-injection
  • Intent-based service recommendations with LLM reranking
  • Public API endpoints for search, stats, submission, and categories

Use cases of Agent Tools Mcp

  • Discover and browse x402 monetized APIs and services
  • Search for MCP servers by natural-language intent and filter by price, health, or category
  • Safety-check an unknown MCP server before connecting
  • Integrate directory search as an A2A skill into agents
  • Submit new paid services to the directory for public listing

FAQ from Agent Tools Mcp

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.

Are the paid services (e.g., Qwen3.6 relay, vertical endpoints) still available?

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.

How do I use the 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.

What does scan_mcp_safety do?

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.

What runtime dependencies are required?

Python with uvicorn, an SQLite database path, and environment variables for upstream LLM API keys if using the ask, safety, or models features.

Frequently asked questions

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.

Are the paid services (e.g., Qwen3.6 relay, vertical endpoints) still available?

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.

How do I use the 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.

What does scan_mcp_safety do?

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.

What runtime dependencies are required?

Python with uvicorn, an SQLite database path, and environment variables for upstream LLM API keys if using the ask, safety, or models features.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

AgentTools-Cloud

Submitted by

PikaPikachu

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