SqueezeOS — Institutional AI Market Intelligence is an MCP server with 11 tools an agent can call, among them agent_web_access, call_capability, capability_manifest. It answers at https://squeezeos-api.onrender.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 21 October 2026, succeeded.
Institutional AI market intelligence: squeeze scanner, options flow, council verdicts. x402 RLUSD.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
agent_web_access | Use SML Agent Web Access: give an AI agent one public HTTPS URL and receive compact LLM-ready Markdown through the stable Clean Web Reader service. No separate SML account or API key is required. An unsigned call returns the live x402 PAYME Inputs: max_chars, payment_signature, url |
call_capability | Call a concrete SqueezeOS REST path on the canonical public host. GET is read-only. POST requires confirm_write=true. If the target returns 402 and no payment_signature was supplied, this tool preserves PAYMENT-REQUIRED and returns the clos Inputs: alternative_intent, body, confirm_write, method, path, payment_signature |
capability_manifest | Return the current machine capability manifest generated from the running Flask route table. This is the canonical product-inventory authority for MCP discovery. |
compare_capabilities | Compare 2-5 live capabilities using the same real metadata returned by inspect_capability; no fabricated composite score is produced. Inputs: probe, sml_ids |
discover_capabilities | Search the live SqueezeOS capability inventory. Lexical mode is always available; unified mode may add configured evidence-backed semantic/graph context without fabricating scores. Inputs: limit, mode, query |
inspect_capability | Inspect one live capability by sml_id. Returns its real endpoint/payment metadata and, when safe, a real liveness probe rather than an invented reliability score. Inputs: probe, sml_id |
recommend_capability | Return the best matching real SqueezeOS capabilities for a natural-language need, including live endpoint/payment metadata and next actions. Inputs: limit, query |
system_status | Read the live SqueezeOS status endpoint. The MCP server does not synthesize cluster-health or synchronization claims. |
x402_contract | Return the canonical SqueezeOS x402 v2 discovery contract. Exact spend terms remain authoritative only in the target resource's fresh PAYMENT-REQUIRED challenge. |
x402_evidence | Read real settlement evidence recorded by the canonical x402 rail. A challenge or signature alone is never treated as revenue or settlement proof. |
x402_readiness | Read the live canonical payment-rail readiness surface before attempting a paid call. |
Every block below points at https://squeezeos-api.onrender.com/mcp. Pick your client and copy.
claude mcp add --transport http squeezeos-institutional-ai-marke https://squeezeos-api.onrender.com/mcp
{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://squeezeos-api.onrender.com/mcp"]
}
}
}{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}{
"servers": {
"squeezeos-institutional-ai-marke": {
"type": "http",
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}{
"context_servers": {
"squeezeos-institutional-ai-marke": {
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"serverUrl": "https://squeezeos-api.onrender.com/mcp"
}
}
}{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}name: SqueezeOS — Institutional AI Market Intelligence
version: 0.0.1
schema: v1
mcpServers:
- name: SqueezeOS — Institutional AI Market Intelligence
type: streamable-http
url: https://squeezeos-api.onrender.com/mcp{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"httpUrl": "https://squeezeos-api.onrender.com/mcp"
}
}
}{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"type": "http",
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}{
"mcpServers": {
"squeezeos-institutional-ai-marke": {
"url": "https://squeezeos-api.onrender.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fsqueezeos-api.onrender.com%2Fmcp&type=streamable_http&id=squeezeos-institutional-ai-marke&name=SqueezeOS%20%E2%80%94%20Institutional%20AI%20Market%20Intelligence
It answered our last check on 21 October 2026 in 285 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
11, as returned by the server's own tools/list on 13 September 2026: agent_web_access, call_capability, capability_manifest, compare_capabilities, discover_capabilities, inspect_capability, recommend_capability, system_status, and 3 more.
It answered our last check on 21 October 2026 in 285 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://squeezeos-api.onrender.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.timwal78. Endpoint host: squeezeos-api.onrender.com. ARD identifier: urn:air:io.github.timwal78:mcp:squeezeos.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.