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California C-10 Contractor Check

by impanyuversion 0.1.0i★ –iRuns in the cloud
Registry nameio.github.impanyu/contractor-check

Install

Overview

Description from the maker (original English)

Paid source-linked California electrical contractor license preflight.

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://api.aisoup.net/contractor-check/mcp

Run this in your terminal

claude mcp add --transport http contractor-check https://api.aisoup.net/contractor-check/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "contractor-check": {
      "url": "https://api.aisoup.net/contractor-check/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": {
    "contractor-check": {
      "type": "http",
      "url": "https://api.aisoup.net/contractor-check/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://api.aisoup.net/contractor-check/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 impanyu, 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 32655 servers in this category
  • Published to the registry more recently than 55% of the other 32655 servers in this category
  • Basic checks equal to or better than 100% of the other 32655 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 California C-10 Contractor Check 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 (0.1.0) reached the registry 34 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, SuperCollider

Alternatives

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

Runs on your computerUpdated today
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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.

Agentic Services

Agentic Services is a multi-service platform for human users, autonomous agents, or both. Each service owns a focused capability and can be sold independently through the appropriate user-facing and/or machine-facing channel.

Services belong to one of three product categories:

  • Human-only: designed for people to use through a UI; no agent-callable interface is required.
  • Agent-only: designed for autonomous agents to discover, purchase, and invoke through a machine interface; an informational product page is not a human-use UI.
  • Human-and-agent: provides both a usable human UI and a machine service interface for the same underlying capability.

The category describes intended users, not whether a website or API happens to exist. APIs, MCP tools, and A2A services are possible machine transports; a human UI is a separate product surface.

Product contract

Every published service has a stable identity, its own offer and delivery contract, a payment path, and service-level and policy information. Requirements depend on its category:

  • Human-only services need a usable UI and human checkout or entitlement flow.
  • Agent-only services need a machine-readable description, input/output schemas, a callable transport, and machine-compatible pricing and payment.
  • Human-and-agent services need both complete surfaces, backed by the same service identity and consistent results and commercial terms where applicable.
  • Paid delivery must be metered and recorded. Machine calls require idempotency and verifiable receipts; human transactions require an order record and appropriate receipt.
  • Data services publish provenance and freshness appropriate to their claims.

For services with an agent interface, the canonical public manifest lives at:

https://<service-host>/.well-known/agent-service.json

The same manifest can be indexed by the platform registry and exported to compatible discovery networks. Human-only services do not need an agent manifest.

Repository layout

docs/                         Product and system design

examples/ Example service manifests schemas/ Versioned protocol schemas services/ Product-specific documentation src/agentic_services/ Runnable gateway and Web Evidence API tests/ API contract and safety tests

The initial protocol is defined by schemas/service-manifest.schema.json. An illustrative service is in examples/weather-risk.service.json.

Architecture

The platform has four layers:

  • Service layer — focused information products owned by individual service modules.
  • Gateway layer — identity, quotes, payment verification, rate limits, and receipts.
  • Registry layer — capability search, health, reputation, and machine-readable manifests.
  • Settlement layer — adapters for pay-per-call, credits, and subscriptions.

See docs/architecture.md for the execution flow and docs/roadmap.md for the build sequence.

For Niche Discovery, see the continuous collection and agent-analysis design. Its Niche Manager Agent owns autonomous research and knowledge-base maintenance through an extensible tool registry, memory, periodic runs and event-driven wakes.

Design principles

  • Protocol-first for agent-facing services: an agent can integrate from schemas without reading prose.
  • Narrow services: each service owns a small domain and returns a useful result, not raw data alone.
  • Payment-neutral core: commercial terms are stable while payment rails remain replaceable.
  • Verifiable delivery: paid transactions have an order record; machine executions have a receipt tied to the request, price, and result.
  • Safe autonomy for machine purchases: budgets, expiry, replay protection, and idempotency are enforced in deterministic code.
  • Federated discovery: the platform registry is useful but is not the only way to find a service.

Run Web Evidence locally

The first runnable service is Web Evidence, a structured claim-verification API backed by the OpenAI Responses API and hosted web search.

python3 -m venv .venv

.venv/bin/pip install -e '.[dev]' cp .env.example .env.local

Add OPENAI_API_KEY to .env.local

.venv/bin/agentic-services

The API starts at http://localhost:8000. Its main endpoints are:

  • POST /web-evidence/v1/claims/verify/quick — $0.02 quick verification.
  • POST /web-evidence/v1/claims/verify — $0.05 standard verification.
  • POST /web-evidence/v1/claims/verify/deep — $0.12 deep verification.
  • POST /web-evidence/v1/claims/verify/research — $0.25 research-grade verification.

The earlier /v1/services/web-evidence/claims/verify... and /v1/claims/verify... paths remain supported as deprecated compatibility aliases.

  • GET /v1/claims/verifications/{verification_id} — retrieve the immutable result.
  • GET /v1/url-snapshots/{snapshot_id} — retrieve snapshot status and content hashes.
  • GET /v1/url-snapshots/{snapshot_id}/content — retrieve the exact captured response bytes.
  • GET /.well-known/agent-service.json — discover the service and its schemas.
  • GET /.well-known/x402 — discover x402-payable resource URLs.
  • POST /mcp — MCP Streamable HTTP server with one free discovery tool and four x402-paid verification tools.
  • GET /.well-known/mcp/server.json — MCP Registry metadata.
  • POST /a2a — A2A 1.0 JSON-RPC SendMessage, paid at the Standard tier.
  • GET /.well-known/agent-card.json — A2A Agent Card.
  • GET /openapi.json — inspect the complete HTTP contract.
  • GET /v1/services — list every service in the platform catalog.
  • GET /llms.txt — read concise agent integration instructions.
  • GET / — human-readable landing page with structured data; robots.txt and sitemap.xml support web indexing.
  • POST /v1/quotes — create a 15-minute machine-readable tier quote.
  • GET /v1/orders/{order_id} — retrieve one paid order and signed receipt with its one-time order token.
  • GET /v1/customer/orders — list a registered customer's orders with X-Agentic-Customer-Key.
  • POST /v1/receipts/{order_id}/verify — verify the server signature on an issued receipt.
  • GET /admin — private commerce dashboard for revenue, OpenAI cost, gross profit, and individual orders.
  • GET /v1/admin/services — list services available to the commerce dashboard.
  • GET /v1/admin/summary, GET /v1/admin/orders — dashboard APIs authenticated with X-Admin-Key; both support platform-wide reporting and serviceId filtering.
  • POST /v1/admin/customers — issue a customer API key; plaintext is returned once and only its SHA-256 hash is stored.

Example request:

curl http://localhost:8000/v1/claims/verify \

-H 'Content-Type: application/json' \ -H 'Idempotency-Key: example-claim-1' \ -d '{ "claim": "OpenAI publishes an official Responses API reference.", "sourcePolicy": "official_only", "allowedDomains": ["openai.com"], "minimumSources": 1 }'

See docs/web-evidence-api.md for request semantics, evidence guarantees, and the planned paid-service endpoints.

For the production Docker Compose deployment at api.aisoup.net, follow deploy/google-cloud-vm.md. The public gateway accepts x402 and MPP payments in Base USDC at the listed tier prices. It also accepts card/USD payments through MPP Stripe at a $0.50 minimum per call. The Python service remains private behind an internal Bearer credential.

Live discovery

California C-10 Contractor Check is live for humans through Stripe Checkout ($19/report) and for agents through its paid HTTP API and MCP endpoint ($1/check in Base USDC). Its Smithery listing, official MCP Registry record, and route on the shared x402Scan page are publicly visible. The release contract and repeatable validation gates are in docs/agent-service-release.md. Other external directory entries and a settled payment are not yet verified.

Web Evidence is published through the following public discovery surfaces:

The repository also carries server.json for MCP Registry publication and glama.json for a future Glama submission. The landing page publishes Schema.org service metadata, robots.txt, sitemap.xml, OpenAPI, llms.txt, and well-known manifests for independent crawlers. A directory is only treated as live after its public listing can be retrieved independently.

The api.aisoup.net URL-prefix property is verified in Google Search Console and its sitemap has been submitted. Production also exposes a private-key-backed IndexNow ownership file so updated discovery URLs can be sent to participating search engines. Search-engine inclusion remains asynchronous and is not treated as complete until the result is publicly searchable.

Status

The repository contains the v0 protocol, a runnable tiered Web Evidence service, full provider-source provenance, URL snapshots with raw and normalized SHA-256 hashes, SQLite persistence, machine-readable discovery, and an x402/MPP dual-protocol payment gateway. Each paid HTTP, MCP, or A2A execution creates an order, signed receipt, and detailed revenue/cost ledger entry. The admin dashboard reports per-order OpenAI token and Web Search costs, gross profit, and margins. Production USDC settlement and public MCP, A2A, x402, and MPP directory discovery have been verified. MPP Stripe has passed an isolated two-account sandbox payment; a real live-mode card charge remains an acceptance requirement. The next milestone is additional evidence operations and ongoing directory health monitoring.

Niche Manager runtime and deployment: operations.

Photo Scout's agent API is public at https://api.aisoup.net/photo-scout/mcp. The free list_photo_scout_prices tool describes pricing and coverage; the paid discover_photo_spots tool costs $2 in Base USDC using x402 MCP. The HTTP endpoint retains MPP and the human website remains a free preview. Its official MCP Registry record was verified publicly. Photo Scout is also listed on x402Scan and [MPPScan](https://www.mppscan.com/server/b915b7bda6517cd0e47f1cfac

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

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