Institutional AI market intelligence: squeeze scanner, options flow, council verdicts. x402 RLUSD.
Use this profile to copy client config, check auth requirements, review tools and resources, and compare related MCP servers before adding it to an AI client.
Get practical integration notes and launch examples for MCP servers like SqueezeOS — Institutional AI Market Intelligence.
https://squeezeos-api.onrender.com/mcpHeaders: X-Payment-Token
Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-timwal78-squeezeos": {
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
Paste an API key, bearer token, or session value from the provider. It is used once to list inventory and discarded after the request.
JWT payment token for premium tools only. Obtain by: (1) call get_invoice with endpoint_id → (2) pay RLUSD on XRPL or USDC on Base → (3) call verify_payment with tx_hash. Token valid 1 hour. Free tools work without this header.
SqueezeOS — Institutional AI Market Intelligence is an MCP server for Institutional AI market intelligence: squeeze scanner, options flow, council verdicts. x402 RLUSD.. It supports HTTP transport.
Use the generated config in Install. It points your client at the advertised remote endpoint shown on this page.
Choose the Claude Desktop tab in Install, copy the config, and add it to Claude Desktop's MCP server settings. Endpoint: https://squeezeos-api.onrender.com/mcp.
Choose the Claude Code tab in Install, copy the config, and add it to Claude Code's MCP server settings. Endpoint: https://squeezeos-api.onrender.com/mcp.
Choose the Codex tab in Install, copy the config, and add it to Codex's MCP server settings. Endpoint: https://squeezeos-api.onrender.com/mcp.
Choose the Cursor or VS Code tab in Install, copy the config, and add it to Cursor or VS Code's MCP server settings. Endpoint: https://squeezeos-api.onrender.com/mcp.
SqueezeOS — Institutional AI Market Intelligence uses HTTP transport. Endpoint: https://squeezeos-api.onrender.com/mcp.
SqueezeOS — Institutional AI Market Intelligence inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
SqueezeOS — Institutional AI Market Intelligence does not advertise a verified auth requirement. If discovery fails, it may still need provider login, an API key, a bearer token, or a session header.