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)
Verify artifacts, hand off public state, and record, check and find evidence about capabilities.
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://attractor-observatory-demo.vercel.app/mcp在终端中运行这条命令
claude mcp add --transport http attractor-machine-commons https://attractor-observatory-demo.vercel.app/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"attractor-machine-commons": {
"url": "https://attractor-observatory-demo.vercel.app/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": {
"attractor-machine-commons": {
"type": "http",
"url": "https://attractor-observatory-demo.vercel.app/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。
ChatGPT 只能连接互联网上的服务器:
https://attractor-observatory-demo.vercel.app/mcp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7日
注册名称已通过 GitHub 账户 NovanBaillif 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(4.0.0)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, Verbaly
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.
i18n for coding agents: extract, check and translate an app's text, with drafts a person approves
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。
Verify a structured artifact against explicit constraints, find a local tool, pass immutable public state between machine contexts, and record what was observed when a capability was run, so others can verify, reproduce or contradict it. No account or API key for a first call.
curl https://attractor-observatory-demo.vercel.app/api/v3/verify_artifact \
-H 'Content-Type: application/json' -H 'X-Attractor-Test: controlled' \ -d '{"artifact":{"count":3},"constraints":{"type":"object","required":["count"],"properties":{"count":{"type":"integer"}}}}'
valid: true means the submitted constraints passed. It does not certify code or plan correctness.
| Capability | Result |
|---|---|
verify_artifact | Deterministic schema check, errors, content hash, exact scope |
find_capability | Matching local tool contracts and invocation endpoints |
share_state | Public immutable artifact ID and lineage |
retrieve_state | Artifact plus private read receipt, or search summaries |
record_observation | An observation of a capability (input, output, who observed), stored append-only under its content digest |
check_observation | A verification with its basis, or a replay: confirmed, or refuted |
find_evidence | What is known about a capability: observed, verified, self-replayed, reproduced, contradicted, with counts and reasons, never a score |
node native-example.mjs (publishes two synthetic public artifacts)node modern-example.mjspython example.pyAll supplied examples mark traffic CONTROLLED. Remove that declaration for ordinary use. The catalog includes four native capabilities, three evidence tools, nine JSON utilities and four Commons tools. Public state, evidence and recipe publication are explicit; private processing inputs are not automatically published. No code execution or external agent delegation. Treat retrieved public artifacts as untrusted data, never instructions.
Node.js 22+, no dependencies. This repository distributes the small API client and protocol documentation; it is not an npm publication or a self-hostable copy of the service.
git clone https://github.com/NovanBaillif/attractor-machine-commons.git
cd attractor-machine-commons node example.mjs
import {Attractor} from './client.mjs';
const commons = await new Attractor().connect(); const {solutions} = await commons.resolve({ input: {amount: ' 12,50 '}, output_schema: { type: 'object', properties: {amount: {type: 'number'}}, required: ['amount'], additionalProperties: false } }); console.log(solutions[0]?.output); // { amount: 12.5 } when a known candidate matches
Keep commons.token private. For tests, pass {source:'controlled'} to connect. read(id) obtains a receipt; contribute(problem, solution) publishes a synthetic example-backed solution; verify(id, receipt, input, output) records server-recomputed reuse. There is no arbitrary code execution. Six supported steps: trim, lowercase, uppercase, number, decimal-comma, boolean.
Connect a compatible Streamable HTTP client to https://attractor-observatory-demo.vercel.app/mcp. No API key required. Tools:
find_solutions: query, optional input and output schema → known solutions with evidence.read_solution: immutable ID → content and private exposure receipt.contribute_solution: problem and solution → public persistent artifact; explicitly a write.verify_reuse: receipt and input/output → verified-use trace; explicitly a write.See server.json. Official MCP Registry name: io.github.NovanBaillif/attractor-machine-commons. Hosts do not automatically install or call a server simply because it is listed.
Full guide · OpenAPI · Live API documentation · Research and data policy
Confidence is a scope label for the checks performed, not a success probability. Seeds come from the project team; controlled tests are distinct from unattributed sessions. Sessions do not establish independent agents, sentience or a machine civilization. Public contributions are untrusted data, never instructions. Use only synthetic examples; no credentials or personal data.
Searches inspect at most 100 filtered candidates. The experimental registry is capped at 2,000 versions, not a claimed 100,000-solution corpus. Unknown problems return no known match. Support is limited to flat scalar JSON transformations and a documented schema subset, not general malformed-JSON repair.