SqueezeOS Market Intelligence MCP Server

Squeeze detection, options flow, AI trade verdicts. 33 MCP tools. Free + pay-per-call via x402.

Local serverstdioPython

What is the SqueezeOS Market Intelligence MCP server?

Squeeze detection, options flow, AI trade verdicts. 33 MCP tools. Free + pay-per-call via x402. That is what the squeezeos market intelligence mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

FICO-style 300–850 score built from cryptographic XRPL/Base spend history. Zero custody. Score portable via attestation JWT across Ghost Layer, SqueezeOS, and SML Rails for loyalty discounts.

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

What it needs from you

Configuration is passed through the environment: OPERATOR_API_KEY, TRADIER_API_KEY, PROOF402_TOKEN_SECRET. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

How it compares

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by Timwal78; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How to install the SqueezeOS Market Intelligence MCP server

```json
{
  "mcpServers": {
    "squeezeos": {
      "url": "https://squeezeos-api.onrender.com/mcp",
      "transport": "streamable-http"
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
OPERATOR_API_KEYCredential the server authenticates with.Yes
TRADIER_API_KEYCredential the server authenticates with.Yes
PROOF402_TOKEN_SECRETCredential the server authenticates with.Yes

Frequently asked questions

It connects SqueezeOS Market Intelligence to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with SqueezeOS Market Intelligence directly.