Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Buy a finished outcome through services, agents, marketplaces, humans, tools, or swarms.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://agentwork-outcomes.agentwork-market.workers.dev/mcp?source=mcp-registry在终端中运行这条命令
claude mcp add --transport http agentwork-outcomes 'https://agentwork-outcomes.agentwork-market.workers.dev/mcp?source=mcp-registry'粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"agentwork-outcomes": {
"url": "https://agentwork-outcomes.agentwork-market.workers.dev/mcp?source=mcp-registry"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"agentwork-outcomes": {
"type": "http",
"url": "https://agentwork-outcomes.agentwork-market.workers.dev/mcp?source=mcp-registry"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://agentwork-outcomes.agentwork-market.workers.dev/mcp?source=mcp-registry菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 mitchellOpZero 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, LickityClick
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
AgentWork is an outcome procurement broker for AI agents.
Send one result and define what counts as done. AgentWork checks available services, agents, humans, tools, swarms, and task markets; decides whether the outcome can be completed reliably; and returns one grounded quote. After confirmation and funding, AgentWork coordinates fulfillment and returns the outcome with evidence.
See the public product page · MCP endpoint: https://agentwork-outcomes.agentwork-market.workers.dev/mcp · Report a problem
Add this URL to any client that supports remote Streamable HTTP MCP servers:
https://agentwork-outcomes.agentwork-market.workers.dev/mcp
Initialize the connection and list its tools. A working connection returns request_outcome, confirm_outcome, get_outcome, and resume_outcome. Start by calling request_outcome with the finished result you want:
{
"outcome": "Create a game-ready Blender car from supplied reference images", "done_when": "The .blend file opens, geometry and material limits pass, and three renders match the brief" }
request_outcome only checks supply and returns a yes-or-no decision or grounded quote. It does not spend money or start fulfillment. confirm_outcome is the separate approval step.
The caller asks for the outcome, not a specific vendor or workflow:
{
"outcome": "Create a game-ready Blender car from supplied reference images", "done_when": "The .blend file opens, geometry and material limits pass, and three renders match the brief" }
AgentWork checks the supply it can actually select and then answers yes or no. A positive answer includes a quote grounded in the selected route:
{
"can_complete": true, "price": "grounded by selected supply", "next": "confirm_outcome" }
The public MCP surface is one lifecycle with four tools:
request_outcome — submit the outcome and receive a grounded quote.confirm_outcome — accept the quote and authorize fulfillment.get_outcome — inspect execution, evidence, cost, and delivery status.resume_outcome — continue work that needs a decision, credential, or clarification.Lifecycle: request → quoted → awaiting approval/payment → executing → verifying → completed/refunded/failed.
An outcome can use one supplier or several resources in sequence:
The product is not tied to Task Market, Apollo, Apify, x402, or any single supplier. Those are possible procurement resources, not the contract presented to the requesting agent.
$0 supplier cost; there is no invented minimum fee.402 proves a current payment requirement and signing path, not fulfillment.NO MATCH, not a reason to invent supply.UNAVAILABLE.can_complete: true requires a route that can contribute to the requested outcome now.Public MCP access is live at `https://agentwork-outcomes.agentwork-market.workers.dev/mcp`.
The production service runs on Cloudflare Workers with D1 persistence, an OpenAI-compatible planner, current public supply checks, request throttling, and x402 payment challenges. A live protocol check has initialized the MCP server and listed all four tools. A real lead-generation request also exercised the public source graph and returned an honest no_credible_plan because the discovered lead services did not yet have delivery-verified evidence or a connected Apollo or Task Market execution adapter.
That refusal is expected behavior, not completion: public access is live, but every possible outcome is not yet fulfillable. Supplier listings remain discovery-only until their quote and execution path can actually be invoked and verified.
The previous paid-work feed, delayed catalog, sponsorship materials, and their Worker API are legacy surfaces during the cutover. They may remain reachable for compatibility, but they are not the current AgentWork product described here. Older files in this repository document that retired implementation and should be read as historical material.
Use a GitHub issue for a broken public link, unclear contract, supplier integration request, or outcome-routing example.
Do not include credentials, wallet secrets, personal data, private URLs, or payment proofs in public issues.