Runtime discovery layer for x402-payable APIs. Agents discover and route to pay-per-call x402 endpoints by capability, get quality-ranked results with trust scores (0-100), and pay per query via x402. Includes MCP server, Python SDK, and CLI (npm install -g x402scout).
Run the underlying MCP server directly — without Agent-CoreX routing.
uvx x402-discovery-mcpAgent-CoreX intelligently routes which tools from rplryan/x402-discovery-mcp your AI agent actually needs per request — reducing token usage and cost.
agent-corex.json
{
"mcpServers": {
"x402-discovery-mcp": {
"command": "uvx",
"args": [
"x402-discovery-mcp"
]
}
}
}Connect in 2 minutes. Only pay for the tools your agent actually uses.
A collection of reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage.
A CLI inspector for the Model Context Protocol that allows running MCP servers and interacting with various tools and resources.
A project related to the Model Context Protocol, potentially involving data processing or context management.
Recommended: intelligent tool routing, lower costs
uvx agent-corex mcp add x402-discovery-mcpAgent-CoreX selects only the tools your agent needs, cutting token usage by up to 60%.
Use rplryan/x402-discovery-mcp directly without routing
uvx x402-discovery-mcpNew to Agent-CoreX? View setup guide →