ai.agentblueprint由 agentblueprint.ai 发布官方发布者v0.2.0更新于 Nov 3, 2026
可测量代理成本、一页式代理摘要检查以及离线访问地图。无需登录。
AI 翻译由 AI 模型根据下方的原文描述翻译，可能有误。
Measured agent costs, a one-page agent summary check, and an offline access map. No sign-in.
Agent Blueprint 的托管 MCP 服务（agentblueprint.ai），由 agentblueprint.ai 发布；无需登录；Streamable HTTP；4 个工具。
暂无 AI 概览：以下信息来自注册中心条目和服务本身。
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。
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/ai.agentblueprint%2Fagent-blueprint/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。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"agent-blueprint": {
"type": "http",
"url": "https://agentblueprint.ai/mcp"
}
}
}This is a Next.js project bootstrapped with create-next-app.
First, run the development server:
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.
来源：README.md，提交 0b4b3db
List measured agent jobs
Lists the ten everyday jobs in Agent Blueprint's measured agent cost benchmark (2 November 2026): what each job was, how big its input was, and the typical and worst-case tokens and dollar cost measured over five runs each on Claude Code and Codex. Use it to find the benchmark job closest to a task someone wants an agent to do, before estimating that task's cost.
agentEstimate an agent task's cost
Estimates the tokens and dollar cost of an AI agent task from the measured benchmark job closest to it. For jobs where cost grows with how much the agent reads, give the size of the real input and it scales the reading part while keeping the agent's fixed overhead. Returns a typical and a budget (worst-case) figure per run and, if runs per month are given, per month. Uses the benchmark-day prices unless current prices are passed. The result is an estimate from small test jobs, not a quote.
job必填agent必填pricesyour_sizeruns_per_monthCheck a one-page agent summary
Checks the structure of a one-page agent summary written from Agent Blueprint's template (https://agentblueprint.ai/agent-one-page-template): all eight sections present and in order, a stage line, every rule ending in "Enforced by:" or "Not enforced:", every Open item naming who decides, no template placeholders left, and length within one page. It checks shape only, not whether the answers are right. The text is checked and returned findings only; it is not stored.
markdown必填Draw an agent's access map
Turns an agent's own inventory of its connections into Agent Blueprint's one-page access map: a single offline HTML page showing what the agent can read and change, who has to approve, its riskiest powers, and what could be trimmed. The agent supplies the inventory from its own tool list; this tool only draws it. Returns the HTML for the person to save, such as my-agent-blueprint.html. The inventory is not stored. The field guide is at https://agentblueprint.ai/draw.md.
trim必填agent必填drawn必填checks必填unseen必填version必填connections必填已满足适用检查项的 90%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
请在仓库或注册中心条目中声明许可证。
由 GitHub 账号 agent-blueprint 发布
Client teams' blueprints for coding agents (token from an engagement). Free: agentblueprint.ai/mcp
由 GitHub 账号 agent-blueprint 发布
Two sample multi-agent blueprints over MCP, no signup. Main server: agentblueprint.ai/mcp
npm run dev# oryarn dev# orpnpm dev# orbun dev