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Tollbooth Sample

by lonnievversion 0.5.0i★ –iRuns in the cloud
Registry nameio.github.lonniev/tollbooth-sample

Install

Overview

Description from the maker (original English)

Educational Weather Stats MCP Service — Tollbooth DPYC monetization sample

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://tollbooth-sample.fastmcp.app/mcp

Run this in your terminal

claude mcp add --transport http tollbooth-sample https://tollbooth-sample.fastmcp.app/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tollbooth-sample": {
      "url": "https://tollbooth-sample.fastmcp.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tollbooth-sample": {
      "type": "http",
      "url": "https://tollbooth-sample.fastmcp.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://tollbooth-sample.fastmcp.app/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account lonniev, 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

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32700 servers in this category
  • Published to the registry more recently than 69% of the other 32700 servers in this category
  • Basic checks equal to or better than 100% of the other 32700 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 Tollbooth Sample safe?

It passed 1 of 1 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 (0.5.0) reached the registry 17 days 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 in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

tollbooth-sample

Educational Weather Stats MCP Service — the reference implementation for building Tollbooth DPYC monetized API services with Bitcoin Lightning micropayments.

This service wraps the free Open-Meteo weather API and gates paid tool calls through the Tollbooth credit system using the @runtime.paid_tool() decorator. Domain tools contain only business logic; debit, rollback, balance warnings, and constraint evaluation are handled automatically by the OperatorRuntime. Standard DPYC tools (balance, purchase, Secure Courier, Oracle, pricing, constraints) are delegated to the wheel via register_standard_tools().

Build your own operator — the bootstrap-dpyc-operator skill

This repo doubles as a Claude Code plugin. The bootstrap-dpyc-operator skill turns your existing REST API, stdio MCP, or HTTP MCP into a monetized DPYC Operator MCP: it clones this template live, wraps your domain logic, and generates a deploy-ready project. You keep writing business logic — the SDK handles payments, identity, vault, audit, and pricing.

Install it in Claude Code:

/plugin marketplace add lonniev/tollbooth-sample

/plugin install bootstrap-dpyc-operator@tollbooth-dpyc

Then ask Claude to *"make my API a paid DPYC operator"* — the skill activates automatically by its description. It never touches your original code (it emits a sibling -mcp/ project) and reads this repo's live wheel pin on every run, so it can't go stale.

See skills/bootstrap-dpyc-operator/ for the skill and its reference guides (canonical pattern, source adapters, sessions & vaults, onboarding checklist).

The DPYC Economy

DPYC stands for Don't Pester Your Customer. It's a philosophy and protocol for API monetization that eliminates mid-session payment popups, subscription nag screens, and KYC friction.

How it works
  1. Pre-funded balances — Users buy credits via Bitcoin Lightning *before* using tools. Each tool call silently debits from their balance. No interruptions, no "please upgrade" modals.
  1. Nostr keypair identity — Users are identified by a Nostr public key (npub), not an email or password. One keypair per role, managed by the user. No account creation forms.
  1. UUID-keyed tool identity — Every tool is a ToolIdentity object with a deterministic UUID v5 derived from a capability name. Pricing hints come from the category field:
CategoryPricing hintUse case
free0 satsBalance checks, status
read1 satSimple lookups
write5 satsMulti-step operations
heavy10 satsExpensive queries

Actual prices are set dynamically by the operator's pricing model in Neon.

  1. Rollback on failure — If the downstream API fails after a debit, credits are automatically rolled back via a compensating tranche. The user never pays for a failed call.
  1. Social Contract — The DPYC ecosystem is a voluntary community bound by transparent, auditable economic rules, with a Certification Chain that cascades trust from the root:
  • Citizens — Users who consume API services
  • Operators — Developers who run MCP services (like this one)
  • Authorities — Certify operators and collect a small tax on purchases
  • First Curator — The root of the chain, mints the initial cert-sat supply

How Tollbooth Monetization Works

ToolIdentity and the frozen tool_id

Each domain tool is registered as a ToolIdentity with a frozen `tool_id` (an opaque UUID), a capability name, a category (pricing hint), and an intent description. Mint the UUID once at the tool's birth — run capability_uuid("get_current_weather") at a REPL (or uuid.uuid4()), then paste the result as a literal constant and never change it again. Freezing the literal is what lets you rename a capability later without orphaning its pricing rows in Neon. Do not call capability_uuid(...) at runtime; the identity must live in exactly one place:

from tollbooth.tool_identity import ToolIdentity, STANDARD_IDENTITIES

from tollbooth.runtime import OperatorRuntime, register_standard_tools from tollbooth.credential_templates import CredentialTemplate, FieldSpec from tollbooth.credential_validators import validate_btcpay_creds

Frozen UUIDs — minted once at tool birth, never recomputed.

GET_CURRENT_WEATHER_UUID = "b7327eb8-92b4-5252-84e0-ba3f437a16ed" GET_WEATHER_FORECAST_UUID = "b6d0e596-3aec-5a62-980b-7875aa04d079" GET_HISTORICAL_WEATHER_UUID = "5608f3e9-44c4-5b28-9744-704af6d701f0"

1. Define domain tool identities

_DOMAIN_TOOLS = [ ToolIdentity( tool_id=GET_CURRENT_WEATHER_UUID, capability="get_current_weather", category="read", intent="Get current weather conditions", ), ToolIdentity( tool_id=GET_WEATHER_FORECAST_UUID, capability="get_weather_forecast", category="write", intent="Get weather forecast", ), ToolIdentity( tool_id=GET_HISTORICAL_WEATHER_UUID, capability="get_historical_weather", category="heavy", intent="Get historical weather data", ), ]

TOOL_REGISTRY: dict[str, ToolIdentity] = {ti.tool_id: ti for ti in _DOMAIN_TOOLS}

The @runtime.paid_tool() decorator

Every paid tool is a single decorator away from full DPYC monetization. The decorator takes the tool's frozen tool_id constant and handles debit, balance checks, constraint evaluation, rollback on failure, and low-balance warnings automatically. Your tool function contains only domain logic:

from typing import Any

from fastmcp import FastMCP from tollbooth.params import PatronNpub

mcp = FastMCP("tollbooth-sample", ...)

Create the runtime with merged standard + domain identities

runtime = OperatorRuntime( tool_registry={STANDARD_IDENTITIES, TOOL_REGISTRY}, operator_credential_template=CredentialTemplate( service="tollbooth-sample-operator", version=2, description="Operator credentials for BTCPay Lightning payments", fields={ "btcpay_host": FieldSpec(required=True, sensitive=True, ...), "btcpay_api_key": FieldSpec(required=True, sensitive=True, ...), "btcpay_store_id": FieldSpec(required=True, sensitive=True, ...), }, ), credential_validator=validate_btcpay_creds,

Connections prove the patron's npub (NIP-98 signed requests or an

OAuth holder connection) against this host.

holder_auth_url="https://tollbooth-sample.fastmcp.app", ... )

Delegate all standard DPYC tools to the wheel.

register_standard_tools returns the slug-prefixed @tool decorator —

use it for the operator's own paid tools below.

tool = register_standard_tools(mcp, "weather", runtime, ...)

Decorate each paid domain tool

@tool @runtime.paid_tool(GET_CURRENT_WEATHER_UUID) async def current( latitude: float, longitude: float, npub: PatronNpub = "", ) -> dict[str, Any]: """Get current weather conditions for a location.

Returns temperature, wind speed, and weather code from Open-Meteo. """ return await weather.get_current(latitude, longitude)

That is the complete paid tool. No manual debit calls, no try/except rollback blocks, no balance-warning plumbing. The decorator:

  • Looks up the tool's pricing from the ToolIdentity registry by UUID
  • Extracts npub from the function arguments for billing
  • Checks that the connection proves that npub (a signed request, or an OAuth connection that holds it)
  • Debits before calling your function (walking the tool's constraint chain from the pricing model)
  • Rolls back automatically if your function raises an exception
  • Appends a low-balance warning to the response when funds are running low
Key patterns

`register_standard_tools(mcp, "weather", runtime, …)` — Registers all standard DPYC tools (balance, purchase, payment, pricing, Secure Courier, Oracle, constraints) from the tollbooth-dpyc wheel, mounts oracle delegations under _oracle_*, and returns the slug-prefixed @tool decorator. Capture the return so you can use the same decorator for your own paid tools — every wire-exposed name on this operator then shares one slug prefix.

`validate_btcpay_creds` — Credential validator that checks BTCPay credentials at receive time, not at first use. Invalid credentials are rejected immediately during the Secure Courier exchange.

`CredentialTemplate` — Declares the operator's required secrets (BTCPay host, API key, store ID) so the Secure Courier flow can prompt for the right fields and validate them on delivery.

The npub parameter

Every paid tool must accept an npub keyword argument. It tells the runtime which patron to bill; the connection proves the caller holds it. Use the SDK's PatronNpub type so every operator describes it the same way:

from tollbooth.params import PatronNpub

npub: PatronNpub = ""

A paid tool called with an empty or invalid npub is refused (npub is required) before your function runs.

What the runtime handles under the hood
Tool call arrives

| v @runtime.paid_tool(GET_CURRENT_WEATHER_UUID) | +-- UUID lookup in tool_registry -> ToolIdentity + pricing +-- npub extraction from kwargs; the connection proves it | +-- Constraint chain from the pricing model (discounts, surge, supply caps, coupons) +-- Balance check + debit | | | insufficient --> Return error (no function call) | +-- Call your function | | | exception --> Automatic rollback, return error | +-- Append low-balance warning if needed | v Return result to caller

Constraint Engine

Constraints are dynamic pricing steps that live in the operator's pricing model: each tool's chain in the model lists the steps the ConstraintGate walks on every call, and coupons bound to the tool are added after them. Author them in Pricing Studio or with weather_set_pricing_model; nothing is switched on by environment variable.

Common constraint types (the SDK registry holds more — weather_list_constraint_types enumerates the full set live):

TypeEffect
free_trialFirst N calls are free
happy_hourDiscount during specific hours
temporal_windowAllow calls only during a time window
finite_supplyCap total invocations globally
loyalty_discountDiscount after spending N sats
bulk_bonusDiscount after N invocations
surge_pricingDemand-elastic multiplier during high demand

Use weather_check_price to preview constraint effects without spending credits — it walks exactly the chain the debit will.

Becoming an Operator

New to Tollbooth? See [GETTING-STARTED.md](GETTING-STARTED.md) for a step-by-step guide covering Nostr keypair setup, Authority enrollment, BTCPay configuration, and deploying your first monetized MCP service.

Quick Start

Local development
git clone https://github.com/lonniev/tollbooth-sample.git

cd tollbooth-sample pip install -e ".[dev]" python -m tollbooth_sample.server

This serves over STDIO. There is no development bypass: paid tools are gated exactly as in production, and the patron's npub is proven by the HTTP connection (a NIP-98 signed request or an OAuth holder bearer), s

Only the beginning is shown; read the rest in the repo

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