Raptr Agent Builder

com.airaptr由 airaptr.com 发布官方发布者v1.3.0更新于 Oct 24, 2026

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

发布方自己的服务:Dogg World Check

已验证Streamable HTTP可网页运行知识与记忆开发者工具AI 与机器学习

概览

AI 生成的概览

一个远程 MCP 服务器,帮助助手把想法或会议记录变成单文件 AI 代理,检查并试用它,还能在公开代理注册表中查找现成代理。

可以做什么
获取官方单文件代理模板及其规则,并按规则检查写好的代理文件直到通过。搜索公开代理注册表,并读取某个代理的完整源码。获取一段简短的 Python 运行器,在对话中用用户自己的数据试用代理,并了解如何在本机长期运行。为分享代理做准备,扫描其中的个人信息,并解释 Apple App 审核拒绝信中引用的条款。记录用户同意发送的服务请求。
适用场景
适合想把想法、重复性任务或会议记录做成 AI 代理、机器人或自动化的场景,也适合先确认是否已有现成代理。还可用于了解 App 审核拒绝信引用了哪些条款。
运行要求
远程 streamable HTTP 端点;未声明本地安装、软件包、环境变量或请求头。对话内运行器需要助手可用的 Python;在本机长期运行代理需使用免费的 Brainstem。
安装前请注意
Rejection Rescue 的完整诊断是付费 x402 端点,有默认价格,默认使用测试网。分享代理会说明如何以用户自己的 GitHub 账号发布到公开注册表,但该工具本身不会发布任何内容。request_service 会发送用户同意提供的请求文本,不含姓名和联系方式。注册表中的代理源码属于第三方代码,运行前应先审阅。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Raptr Agent Builder,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.airaptr%2Fraptr-agent-builder/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源: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.

无需输入参数。

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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数request必填

版本历史

1
  1. v1.3.0最新Oct 16, 2026

评分

已满足适用检查项的 90%

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