Licensed House Painters

agency.ottobot由 ottobot.agency 發布官方發布者v0.1.3更新於 Nov 4, 2026

Find licensed house painters in 11 US states, with dated license status from state boards.

已驗證Streamable HTTP可網頁執行位置與生活商業與電商

概覽

AI 產生的概覽

遠端 MCP 伺服器,讓助理在美國 11 個州查詢領有執照的房屋油漆工,並記錄屋主的估價需求。

可以做什麼
  • 依美國城市在 11 個州搜尋領有執照的房屋油漆工與承包商,資料來自州執照委員會紀錄
  • 依 ID 讀取某位油漆工的完整紀錄:商號、地址、電話、網站、執照號碼及附日期的執照狀態
  • 記錄屋主的估價需求與聯絡資料,並回傳可聯繫的領照油漆工
適用情境
適合屋主想在涵蓋的州尋找領照油漆承包商、核對執照號碼與狀態,或向當地油漆工送出估價需求時使用。
執行需求
遠端 streamable HTTP 端點;未宣告驗證、環境變數或標頭。需要能連線至服務商端點的網路。
安裝前請注意
request_estimate 會儲存屋主的聯絡資料,應僅在屋主已了解將分享哪些資訊並同意後呼叫,並將 homeowner_confirmed 設為 true。執照狀態是某日自委員會檔案讀取的快照,依賴前應自行核實。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Licensed House Painters,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/agency.ottobot%2Flicensed-house-painters/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "licensed-house-painters": {
      "type": "http",
      "url": "https://house-painters.ottobot.agency/mcp"
    }
  }
}

README

MCP Registry

The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers.

📤 Publish my MCP server | ⚡️ Live API docs | 👀 Ecosystem vision | 📖 Full documentation

Development Status

2025-10-24 update: The Registry API has entered an API freeze (v0.1) 🎉. For the next month or more, the API will remain stable with no breaking changes, allowing integrators to confidently implement support. This freeze applies to v0.1 while development continues on v0. We'll use this period to validate the API in real-world integrations and gather feedback to shape v1 for general availability. Thank you to everyone for your contributions and patience—your involvement has been key to getting us here!

2025-09-08 update: The registry has launched in preview 🎉 (announcement blog post). While the system is now more stable, this is still a preview release and breaking changes or data resets may occur. A general availability (GA) release will follow later. We'd love your feedback in GitHub discussions or in the #registry-dev Discord (joining details here).

Registry Working Group:

Contributing

We use multiple channels for collaboration - see modelcontextprotocol.io/community/communication.

Often (but not always) ideas flow through this pipeline:

  • Discord - Real-time community discussions
  • Discussions - Propose and discuss product/technical requirements
  • Issues - Track well-scoped technical work
  • Pull Requests - Contribute work towards issues

Quick start:

Pre-requisites
  • Docker
  • Go - version per the go directive in go.mod; the Go toolchain fetches it for you
  • ko - Container image builder for Go (installation instructions)
  • golangci-lint - version per the golangci-lint-action pin in ci.yml, so local lint matches CI
Running the server
bash
# Start full development environmentmake dev-compose

This starts the registry at localhost:8080 with PostgreSQL. The database uses ephemeral storage and is reset each time you restart the containers, ensuring a clean state for development and testing.

Note: The registry uses ko to build container images. The make dev-compose command automatically builds the registry image with ko and loads it into your local Docker daemon before starting the services.

By default, the registry seeds from the production API with a filtered subset of servers (to keep startup fast). This ensures your local environment mirrors production behavior and all seed data passes validation. For offline development you can seed from a file without validation with MCP_REGISTRY_SEED_FROM=data/seed.json MCP_REGISTRY_ENABLE_REGISTRY_VALIDATION=false make dev-compose.

The setup can be configured with environment variables in docker-compose.yml - see .env.example for a reference.

Alternative: Running a pre-built Docker image

Pre-built Docker images are automatically published to GitHub Container Registry. Note that the image does not bundle PostgreSQL, so you need to run your own and point the registry at it via MCP_REGISTRY_DATABASE_URL (see docker-compose.yml for a working example):

bash
# Run latest stable releasedocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:latest
# Run latest from main branch (continuous deployment)docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main
# Run specific release versiondocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:v1.0.0
# Run development build from main branchdocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main-20250906-abc123d

Available tags:

  • Releases: latest, v1.0.0, v1.1.0, etc.
  • Continuous: main (latest main branch build)
  • Development: main-<date>-<sha> (specific commit builds)
Publishing a server

Publishing an MCP server does not happen through a pull request to this repository. Adding a server.json, a server directory, or an entry in data/seed.json will not publish or list your server, even if the PR is merged. Use the mcp-publisher CLI from your server's own project instead.

To publish a server, we've built a simple CLI. You can use it with:

bash
# Build the latest CLImake publisher
# Use it!./bin/mcp-publisher --help

See the publisher guide for more details.

Other commands
bash
# Run lint, schema validation, and all tests# Note: this also runs `make dev-down`, stopping any running dev-compose environmentmake check

There are also a few more helpful commands for development. Run make help to learn more, or look in Makefile.

Architecture

Project Structure

├── cmd/                     # Application entry points│   ├── publisher/           # Server publishing tool│   └── registry/            # Registry API server├── data/                    # Seed data├── deploy/                  # Deployment configuration (Pulumi)├── docs/                    # Documentation├── internal/                # Private application code│   ├── api/                 # HTTP handlers and routing│   ├── auth/                # Authentication (GitHub OAuth, JWT, namespace blocking)│   ├── config/              # Configuration management│   ├── database/            # Data persistence (PostgreSQL)│   ├── importer/            # Seed data import│   ├── service/             # Business logic│   ├── telemetry/           # Metrics and monitoring│   └── validators/          # Input validation├── pkg/                     # Public packages│   ├── api/                 # API types and structures│   │   └── v0/              # Version 0 API types│   └── model/               # Data models for server.json├── scripts/                 # Development and testing scripts├── tests/                   # Integration tests└── tools/                   # CLI tools and utilities    └── validate-*.sh        # Schema validation tools

Authentication

Publishing supports multiple authentication methods:

  • GitHub OAuth - For publishing by logging into GitHub
  • GitHub OIDC - For publishing from GitHub Actions
  • DNS verification - For proving ownership of a domain and its subdomains
  • HTTP verification - For proving ownership of a domain

The registry validates namespace ownership when publishing. E.g. to publish...:

  • io.github.domdomegg/my-cool-mcp you must login to GitHub as domdomegg, or be in a GitHub Action on domdomegg's repos
  • me.adamjones/my-cool-mcp you must prove ownership of adamjones.me via DNS or HTTP challenge

Community Projects

Check out community projects to explore notable registry-related work created by the community.

More documentation

See the documentation for more details if your question has not been answered here!

來源:README.md,提交 11b7b0e

工具

3

search_painters

Find licensed house painters

Find licensed house painters and painting contractors in a US city (AZ, CA, CT, DE, FL, IA, NV, NY, OR, VA, WA), from state licensing-board records. Each result has the license number and its status with the date it was read from the board's own file, the phone number and website the board lists, and the board's lookup page for re-checking before hiring. Active licenses are listed first. Not a rating or an endorsement. Read-only.

輸入參數city必填limitstate必填

get_painter

Painter details

Full record for one painter returned by search_painters, by its painter_id: business name, address, phone, website, license number and dated license status, and the state board's lookup page. Read-only.

輸入參數painter_id必填

request_estimate

Request a painting estimate

Record a homeowner's request for a painting estimate, with their contact details. Only call this after the homeowner has seen what will be shared and agreed to share it, and set homeowner_confirmed to true to say so. The request is stored and the reply lists licensed painters the homeowner can contact directly. This is an early service: no painter is assigned automatically and a reply is not guaranteed.

輸入參數city必填state必填painter_idscontact_name必填contact_emailcontact_phonejob_description必填preferred_timinghomeowner_confirmed必填

版本歷史

3
  1. v0.1.3最新Nov 4, 2026
  2. v0.1.2Sep 26, 2026
  3. v0.1.1Sep 26, 2026

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其他 Ottobot 整合