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)
Commission physical-world tasks from a human service: list services, request quotes, track.
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"handwork": {
"command": "npx",
"args": [
"-y",
"@reneturcios/handwork",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add handwork -- npx -y @reneturcios/handwork mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"handwork": {
"command": "npx",
"args": [
"-y",
"@reneturcios/handwork",
"mcp"
]
}
}
}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": {
"handwork": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/handwork",
"mcp"
]
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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 CloudCorpRecords 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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于前天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Docker。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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。
Some jobs need a person in the physical world: something made, measured, assembled, tested, or shipped. handwork is a small MCP server that connects an agent to a human service desk that takes on exactly that kind of work. It exposes three tools — a service catalogue, a quote request, and a status lookup — and forwards each call to the desk's public remote endpoint, returning the answer unchanged.
Asking for a quote is not placing an order. Nothing is charged and nothing is made until a quote comes back by e-mail and is accepted there; the tools themselves carry no ordering or payment capability.
list_services — what the service will and will not do, the categories it refuses, example prices, how payment works, and the key contract terms. Takes no arguments and needs no authentication.request_quote — describe a physical-world task (what is to be done, which services it needs, deliverables, deadline, delivery address, input files, currency) along with the client's invoice details, and a human screens it and replies with a fixed-price quote by e-mail within 24 hours. The reply carries a quote_id and an access_token; keep the token, it is the only way to read the request back. No field at the top level is required, but the nested task object requires a description and the nested client object requires email and name.get_status — the state of an earlier quote request. Both id (the quote_id) and access_token are required. Records are kept for 90 days, and the quote itself arrives by e-mail.handwork is a forwarding client, not a reimplementation. It serves tools/list itself, from the tool definitions the remote publishes, and for every tools/call it opens a streamable-HTTP JSON-RPC session with the upstream — initialize, then notifications/initialized, then the call, carrying the Mcp-Session-Id header whenever the upstream issues one — and passes the upstream result through verbatim. If the upstream cannot be reached or answers with an error, the call fails with a handwork error: message instead of a fabricated result.
The upstream endpoint defaults to https://handsforagents.com/mcp. Setting the HANDS_MCP_URL environment variable points the client at a different endpoint (a reconstruction affordance; the published service itself names no override).
As an MCP server over stdio:
npx -y @reneturcios/handwork mcp
MCP client configuration:
{
"mcpServers": { "handwork": { "command": "npx", "args": ["-y", "@reneturcios/handwork", "mcp"] } } }
In a container (the default command is mcp):
docker run -i ghcr.io/cloudcorprecords/handwork
docker run --rm ghcr.io/cloudcorprecords/handwork --version
handwork mcp # serve the tools over stdio
handwork --version # print the version
Any other subcommand prints usage and exits with code 2.
npm install
npm run build # tsc -> dist/ npm test # node test runner via tsx; stubbed upstream, no network npm run dev # run the CLI from source
The tests drive the forwarding core against a fake JSON-RPC upstream injected in place of fetch, covering the handshake order, session handling, verbatim pass-through, event-stream responses, error surfacing, and a check that the served tools/list matches the captured upstream surface exactly.
MIT — see LICENSE.