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PopNx MCPMCP servers for people who use AI · explained in plain words

SqueezeOS — Institutional AI Market Intelligence

by timwal78version 6.2.0i★ 0iRuns in the cloud
Registry nameio.github.Timwal78/squeezeos

How to install

What it does

Institutional AI market intelligence: squeeze scanner, options flow, council verdicts. x402 RLUSD.

  • Connects Runs in the cloud
  • Account or key Works without a key · add X-Payment-Token if you have one (often raises limits)
  • Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · What you ask goes through the maker’s server (squeezeos-api.onrender.com) · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. Click “Add” → “Custom” → “Web” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameSqueezeOS — Institutional AI Market Intelligence
    Remote MCP server URL · Addresshttps://squeezeos-api.onrender.com/mcp

    Click Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add

  3. Turn it on in a chat

    +ConnectorsSqueezeOS — Institutional AI Market Intelligence

  4. Try it

    Use SqueezeOS — Institutional AI Market Intelligence and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using SqueezeOS — Institutional AI Market Intelligence or shows a SqueezeOS — Institutional AI Market Intelligence tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT, depending on your plan

Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameSqueezeOS — Institutional AI Market Intelligence
    Connection · Addresshttps://squeezeos-api.onrender.com/mcp
  3. Pick SqueezeOS — Institutional AI Market Intelligence in a chat

    Start a new chat and pick SqueezeOS — Institutional AI Market Intelligence from your plugins before typing

  4. Try it

    Use SqueezeOS — Institutional AI Market Intelligence and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using SqueezeOS — Institutional AI Market Intelligence or shows a SqueezeOS — Institutional AI Market Intelligence tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http --scope user squeezeos https://squeezeos-api.onrender.com/mcp
  3. Type /mcp in Claude Code

    You should see SqueezeOS — Institutional AI Market Intelligence listed as connected

  4. Try it

    Use SqueezeOS — Institutional AI Market Intelligence and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using SqueezeOS — Institutional AI Market Intelligence or shows a SqueezeOS — Institutional AI Market Intelligence tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

  1. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use SqueezeOS — Institutional AI Market Intelligence and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using SqueezeOS — Institutional AI Market Intelligence or shows a SqueezeOS — Institutional AI Market Intelligence tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

  1. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use SqueezeOS — Institutional AI Market Intelligence and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using SqueezeOS — Institutional AI Market Intelligence or shows a SqueezeOS — Institutional AI Market Intelligence tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://squeezeos-api.onrender.com/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use SqueezeOS — Institutional AI Market Intelligence💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

claude mcp add --transport http --scope user squeezeos https://squeezeos-api.onrender.com/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "squeezeos": {
      "url": "https://squeezeos-api.onrender.com/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "squeezeos": {
      "type": "http",
      "url": "https://squeezeos-api.onrender.com/mcp"
    }
  }
}

Values you fill in

  • X-Payment-Token secret HTTP header
    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 too…

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
Not on npm/PyPI
Licencei
No licence stated
Connection
Runs in the cloud
Transport
streamable-http
Latest versioni
6.2.0
Categoryi
Other
Published to registryi
Jun 26, 2026
Code last changedi
–
Maker
timwal78
Repo
–
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

Related guides

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

  • discover_capabilities

    Search the live SqueezeOS capability inventory by keyword. Use this when an agent needs to find which SML APIs exist for a task before calling anything. Returns a ranked list of matching capabilities with endpoint and payment metadata; lexical mode is always available and unified

  • recommend_capability

    Return the best-matching SqueezeOS capabilities for a natural-language need. Call this when an agent knows the goal, for example 'convert a URL to Markdown', but not which SML API serves it. Returns ranked capabilities with live endpoint and x402 payment metadata plus suggested n

  • list_playbooks

    Filter the public ScriptMasterLabs Google Play book catalog for the job a reader is working on, for example 'x402 payments' or 'options trading'. Returns up to 10 matching titles with each book's GGKEY, Google Play URL, and Google Play list price. Free, read-only and idempotent;

  • inspect_capability

    Inspect one live SqueezeOS capability by its sml_id. Use this when an agent has a candidate capability and needs its exact endpoint, parameters, and x402 payment terms before calling. Returns real endpoint and payment metadata plus, when safe, a real liveness probe rather than an

  • compare_capabilities

    Compare 2-5 live SqueezeOS capabilities side by side using real metadata. Use this when an agent must choose between similar APIs, for example weighing price against coverage. Returns the same real endpoint and payment fields inspect_capability returns for each candidate; no fabr

  • capability_manifest

    Read the canonical machine capability manifest generated from the live Flask route table. Use this when an agent needs the authoritative full inventory of SqueezeOS products, schemas, and payment metadata in one document instead of querying tools one by one. Returns the manifest

  • x402_contract

    Read the canonical SqueezeOS x402 v2 discovery contract. Use this when an agent needs the payment protocol's rules, for example challenge and response header names, before attempting any paid call. Returns the contract document; exact spend terms remain authoritative only in the

  • x402_readiness

    Check the live x402 payment-rail readiness surface. Call this when an agent is about to attempt a paid call and wants to confirm the rail is up before building a payment signature. Returns the current readiness status of the canonical SqueezeOS payment rail. Read-only and idempot

  • x402_evidence

    Read real settlement evidence recorded by the canonical x402 rail. Use this when an agent or auditor needs proof that a past payment actually settled in USDC on Base; a challenge or signature alone is never treated as revenue or settlement proof. Returns recorded settlement recei

  • system_status

    Read the live SqueezeOS status endpoint. Use this when an agent needs a quick health check of the API host before starting paid work. Returns the live status payload; the MCP server never synthesizes cluster-health or synchronization claims. Read-only and idempotent; no side effe

  • url_to_markdown

    URL to Markdown — convert any public HTTPS URL to clean LLM-ready Markdown for $0.001 USDC per accepted read, settled via x402 on Base. Failed reads are never charged. Use this when an agent needs a web page's content as compact Markdown, for example to ground a research answer.

  • gamma_sonar

    Get the dealer gamma-exposure (GEX) and pin-risk map for one US ticker from live Tradier option chains: long/short gamma regime, zero-gamma flip line, call and put walls, max open-interest pin strike, and the full per-strike GEX ladder. Use this when an agent needs to know where

  • ticker_dossier

    Get a one-call intelligence profile for one US ticker: live quote, dealer gamma regime/walls/pin, unusual options flow, squeeze score, SEC fails-to-deliver plus Reg SHO threshold-list status, and the Oracle directive. Use this when an agent needs a full picture of a stock in a si

  • commit_discover_effects

    List the SML Commit effect atlas: every registered action, target system, owner, and cap a commit check can authorize. Use this when an agent needs to quote or validate a commit check and must cite the exact registered effect terms. Returns the live atlas. Read-only and idempoten

  • commit_read_terms

    Read the live SML Commit terms: price, decision outcomes, and rules. Use this when an agent needs the exact commit-check terms to quote to a caller before any payment. Returns the terms document. Read-only and idempotent; no side effects. On error, returns a structured error. For

  • read_capability

    Read one public SqueezeOS REST path with GET. Cannot accept payment authorization, a request body, or another HTTP method. Returns data or the unchanged unpaid x402 challenge with no-spend alternatives. Never signs or settles a payment. Operator routes and off-host URLs are denie

  • execute_capability

    Execute one public SqueezeOS REST path with POST after confirm_write=true. Returns the target result or its x402 challenge. A caller-signed payment_signature may authorize the published SML service fee; the server does not sign wallets. May create records or settle an authorized

  • purchase_capability_read

    Retrieve one paid SqueezeOS REST path with GET using caller-signed authorization for that exact resource's fresh x402 challenge. May settle an irreversible published SML service fee; returns delivery and payment-response evidence. Cannot change the HTTP method or send a request b

  • aftersearch_resolve

    Convert a natural-language query into machine intent, a bounded Evidence Pack, and one immutable x402 job with a fresh quote pointer. Use this when an agent needs to turn a what-would-I-Google question into a priced, quotable evidence job before any payment. Returns the immutable

  • aftersearch_verify_serp

    Verify pasted SERP or AI-answer text, or one caller-provided public URL, against retrieved sources. Use this when an agent needs a confirm, contradict, or missing verdict with cited sources before quoting or paying for evidence. Returns the verdict plus sources with URLs, retriev

  • aftersearch_quote

    Return fresh x402 PAYMENT-REQUIRED terms for one immutable job. Call this when an agent holds a job_id and needs the current USDC price and payment instructions before deciding to pay; a 402 challenge is a quote, never payment. Returns the price in USDC, the pay_to address, netwo

  • aftersearch_accept

    Get accepted delivery for one immutable job with caller-supplied x402 authorization. Use this when an agent holds fresh PAYMENT-REQUIRED terms and the caller approves the spend; the caller supplies payment_response as the PAYMENT-SIGNATURE value and SML never signs or spends. Ret

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 15, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account timwal78, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 556 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 22 tool descriptions and found no hidden instructions to the AI

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

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User reviews

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Compared with others in Otheri

  • More stars than 0% of the other 19905 servers in this category
  • Published to the registry more recently than 11% of the other 19905 servers in this category
  • Basic checks equal to or better than 100% of the other 19905 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is SqueezeOS — Institutional AI Market Intelligence safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (6.2.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).

What can I use instead?

In the same category: World Monitor, openstatus, Oh My Posh Validator, Strata, Jitsu

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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openstatus

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Oh My Posh Validator

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by JanDeDobbeleerWidely used★ 23.8K Stars for the whole repoUpdated 26 days ago

Runs in the cloud✓ service owner · ohmyposh.dev

Strata

MCP server for progressive tool usage at any scale (see https://klavis.ai)

by Klavis-AIGrowing★ 5.8KUpdated 14 months ago

Runs in the cloudRepo archived✓ klavis.ai

Jitsu

Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.

by jitsucomWidely used★ 5.1KUpdated 4 months ago

Runs in the cloud✓ service owner · jitsu.com
  • World Monitor — Runs in the cloud, nothing to install · No key needed
  • openstatus — Runs in the cloud, nothing to install · No key needed
  • Oh My Posh Validator — Runs in the cloud, nothing to install · No key needed
  • Strata — Runs in the cloud, nothing to install · No key needed
  • Jitsu — Runs in the cloud, nothing to install · No key needed

README from the maker

No README found in the repo