SCRIPTMASTERLABS — SqueezeOS MCP

SqueezeOS MCP for live machine discovery and x402-paid USDC APIs on Base.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    SqueezeOS MCP for live machine discovery and x402-paid USDC APIs on Base.

    How to connect

    How to connect SCRIPTMASTERLABS — SqueezeOS MCP to Claude

    The server address to paste into Claude settings:

    https://squeezeos-api.onrender.com/mcp?registry=scriptmasterlabs

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect SCRIPTMASTERLABS — SqueezeOS MCP to ChatGPT

    The server address to paste into ChatGPT settings:

    https://squeezeos-api.onrender.com/mcp?registry=scriptmasterlabs

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect SCRIPTMASTERLABS — SqueezeOS MCP to Cursor

    The server address to paste into Cursor settings:

    https://squeezeos-api.onrender.com/mcp?registry=scriptmasterlabs

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (11)

    Raw names from tools/list. Only developers need these.

    discover_capabilitiesSearch the live SqueezeOS capability inventory. Lexical mode is always available; unified mode may add configured evidence-backed semantic/graph context without fabricating scores.
    recommend_capabilityReturn the best matching real SqueezeOS capabilities for a natural-language need, including live endpoint/payment metadata and next actions.
    inspect_capabilityInspect 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.
    compare_capabilitiesCompare 2-5 live capabilities using the same real metadata returned by inspect_capability; no fabricated composite score is produced.
    capability_manifestReturn the current machine capability manifest generated from the running Flask route table. This is the canonical product-inventory authority for MCP discovery.
    x402_contractReturn the canonical SqueezeOS x402 v2 discovery contract. Exact spend terms remain authoritative only in the target resource's fresh PAYMENT-REQUIRED challenge.
    x402_readinessRead the live canonical payment-rail readiness surface before attempting a paid call.
    x402_evidenceRead real settlement evidence recorded by the canonical x402 rail. A challenge or signature alone is never treated as revenue or settlement proof.
    system_statusRead the live SqueezeOS status endpoint. The MCP server does not synthesize cluster-health or synchronization claims.
    agent_web_accessUse 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 PAYMENT-REQUIRED challenge and never auto-spends; retry only with a challenge-specific payment_signature.
    call_capabilityCall 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 closest no-spend SML alternative from the Capability Router. Retry the original route only with a challenge-specific payment_signature. Sensitive operator/control routes and arbitrary auth headers are not exposed.
    SCRIPTMASTERLABS — SqueezeOS MCP: connect to Claude, ChatGPT, Cursor · Connectors.fun