Raptr Agent Builder

com.airaptr由 airaptr.com 發布官方發布者v1.3.0更新於 Oct 24, 2026

Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.

發布方自己的服務:Dogg World Check

已驗證Streamable HTTP可網頁執行知識與記憶開發者工具AI 與機器學習

概覽

AI 產生的概覽

一個遠端 MCP 伺服器,協助助理把想法或會議紀錄變成單一檔案 AI 代理,檢查並試用它,還能在公開代理註冊表中尋找現成代理。

可以做什麼
取得官方單一檔案代理範本及其規則,並依規則檢查寫好的代理檔案直到通過。搜尋公開代理註冊表,並讀取某個代理的完整原始碼。取得一段簡短的 Python 執行器,在對話中以使用者自己的資料試用代理,並了解如何在本機長期執行。為分享代理做準備,掃描其中的個人資訊,並解釋 Apple App 審查拒絕信引用的條款。記錄使用者同意送出的服務請求。
適用情境
適合想把想法、重複性任務或會議紀錄做成 AI 代理、機器人或自動化的情境,也適合先確認是否已有現成代理。還可用於了解 App 審查拒絕信引用了哪些條款。
執行需求
遠端 streamable HTTP 端點;未宣告本機安裝、套件、環境變數或標頭。對話內執行器需要助理可用的 Python;在本機長期執行代理需使用免費的 Brainstem。
安裝前請注意
Rejection Rescue 的完整診斷是付費 x402 端點,有預設價格,預設使用測試網。分享代理會說明如何以使用者自己的 GitHub 帳號發布到公開註冊表,但該工具本身不會發布任何內容。request_service 會送出使用者同意提供的請求文字,不含姓名與聯絡方式。註冊表中的代理原始碼屬於第三方程式碼,執行前應先審閱。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Raptr Agent Builder,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/com.airaptr%2Fraptr-agent-builder/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": {
    "raptr-agent-builder": {
      "type": "http",
      "url": "https://api.airaptr.com/mcp"
    }
  }
}

README

Raptr Agent Builder (ChatGPT app)

A ChatGPT app that turns an idea or a meeting transcript into a working single-file agent. ChatGPT's own model writes the agent; this MCP server supplies the template, checks the result, searches the public open agent registry (RAR), and explains how to run the agent in the free Brainstem.

It sits on top of the ecosystem and never changes the Brainstem: it reads the public registry and points at the public installer.

  • MCP endpoint: https://airaptr-api.azurewebsites.net/mcp (streamable HTTP, stateless, JSON responses)
  • Site, privacy, terms: https://airaptr.github.io/

Tools

ToolWhat it does
get_agent_templateThe official template and its rules
check_agentChecks a finished agent file against the rules
find_agentsSearches the registry
get_agent_codeReturns one registry agent's source
use_agent_hereRunner so ChatGPT runs the agent in the chat on the user's data
how_to_run_agentOptional: keep it on your computer (Mac, Windows, Linux)
rejection_rescue_previewFree: explains the guideline sections an Apple App Review rejection cites

Store: GET /store.json is the catalog for agents. Rejection Rescue: free preview at POST /rescue/preview, the full diagnosis and reply draft at POST /x402/rescue (x402, X402_PRICE_RESCUE, default $0.50, testnet by default). Tests: node --test test/*.test.mjs.

Develop

bash
node build_template.mjs ../RAR/template_agent.py   # refresh the embedded templatenpx wrangler dev                                   # local server on :8787node test/check_real_agents.mjs ../RAR             # checker vs. the template and every registry agenttest/mcp_smoke.sh http://localhost:8787            # drive the MCP endpointnpx wrangler deploy                                # Cloudflare hostazure/deploy.sh                                    # or Azure Functions

Listing copy for the ChatGPT app directory is in SUBMISSION.md.

來源:README.md,提交 f110430

工具

9

get_agent_template

Get the agent template

Use this when the user wants to build an AI agent, assistant, bot or automation from an idea, a repetitive task, a process description, or a meeting transcript (for example: automate invoices, triage support tickets, summarize meetings, follow up with leads). Returns the official single-file agent template and its rules. Fill it in yourself from what the user described, then call check_agent on the finished file before showing it to the user. Then call use_agent_here so the user can use it right away in this chat.

無需輸入參數。

check_agent

Check an agent file

Checks a finished agent file against the template rules (manifest, naming, class, perform method, no hardcoded secrets). Call it on every agent you write, fix anything it reports, and call it again until it passes.

輸入參數code必填filename必填

find_agents

Find existing agents

Searches the open agent registry (about 1,700 single-file agents) for agents that already do what the user wants, for example when they ask 'is there an AI tool for...' or want a ready-made automation instead of building one. Use it before building from scratch, or when the user asks whether an agent exists for a task.

輸入參數limitquery必填

get_agent_code

Get an agent's code

Returns the full source of one agent from the registry, by its name (e.g. @bill/neuron_agent), so it can be read or adapted.

輸入參數name必填

use_agent_here

Use the agent in this chat

Use this right after an agent passes check_agent, or whenever the user wants to try an agent. Returns a short Python runner so you can run the agent in this chat with your own Python tool on the user's own data (pasted text, an uploaded spreadsheet, a list). Nothing to install. If Python is unavailable, apply the agent's logic yourself by reading its code. Ask the user for their real data, run the agent, and show the result in plain words.

輸入參數filename

how_to_run_agent

Keep an agent running on your computer

Optional, for later: how to keep an agent running on the user's own computer with the free Brainstem. Only offer this after the user has used the agent in the chat and wants to keep it.

輸入參數osfilename

share_agent

Share an agent with everyone

Use only when the user says they want to share an agent they built. Checks the agent and scans it for personal details (emails, phone numbers, secrets), then explains how to publish it to the free open agent registry under their own GitHub account. Nothing is published by this tool.

輸入參數code必填filename必填

rejection_rescue_preview

Explain an App Store rejection

Use when the user pastes a rejection message from Apple App Review (it cites guidelines such as "Guideline 5.1.1(i)"). Free. Returns each cited guideline section it recognizes, with its title and what Apple means by it, and lists sections it does not know. The full version (likely causes, a fix list and a reply draft to App Review) is a separate paid HTTP call; the result says its price and route.

輸入參數text必填

request_service

Ask us to build something

Use when the person wants something none of these tools can do and says yes to passing the request on. Records only the request text they agree to send (no name or contact). Ask before calling it.

輸入參數request必填

版本歷史

1
  1. v1.3.0最新Oct 16, 2026

評分

已滿足適用檢查項的 90%

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  • 圖示10 分
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其他 Airaptr 整合