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)
MCP server quality scoring and optimization for the agent economy.
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": {
"twig": {
"command": "npx",
"args": [
"-y",
"@kind-ling/twig"
]
}
}
}在终端中运行这条命令
claude mcp add twig -- npx -y @kind-ling/twig粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"twig": {
"command": "npx",
"args": [
"-y",
"@kind-ling/twig"
]
}
}
}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": {
"twig": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kind-ling/twig"
]
}
}
}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7日
注册名称已通过 GitHub 账户 Kind-ling 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(0.4.2)于7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。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper
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.
High-precision static analysis and debug server for AutoCAD AutoLISP (.lsp) files.
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。
Agents choose you or they don't. Twig makes them choose you.
Part of Kindling — agent SEO for the agent economy.
| Tier | Features | Price |
|---|---|---|
| Free | twig analyze — score your descriptions. twig optimize — get better variants. | Always free |
| Monitor | Weekly re-scoring, competitive position, intent trend alerts | $0.50–2.00/report via x402 |
| Intelligence | Category benchmarks, intent corpus, competitive index | $0.50–1.00/query via x402 |
| Enterprise | 15% of measured x402 revenue increase | Performance-based, zero if no improvement |
Every MCP tool has a description. That description is what an LLM reads when deciding whether to call your service. It's the only signal between "selected" and "skipped".
Most descriptions are garbage.
| Tool | Current Description | Twig Score |
|---|---|---|
exa/answer | "AI-powered answer" | F (28/100) |
wordspace/invoke | "Run wordspace AI agent loop" | F (31/100) |
exa/find-similar | "Find similar pages" | F (33/100) |
jupiter/portfolio | "Wallet portfolio positions" | D (42/100) |
These tools are useful. Their descriptions are not. And getting indexed in x402-discovery or MCPay doesn't help if agents skip you because they can't tell what you do.
Getting indexed is table stakes. Twig helps you get chosen.
npm install -g @kind-ling/twig
# Free — score your descriptions
twig analyze https://myservice.com/.well-known/agent.json
twig optimize https://myservice.com/.well-known/agent.json
twig monitor https://myservice.com/.well-known/agent.json
twig competitive crypto-defi
twig intents crypto-defi
Twig is available as a hosted API at https://twig.kind-ling.com
# Health check
curl https://twig.kind-ling.com/health
curl -X POST https://twig.kind-ling.com/analyze \ -H "Content-Type: application/json" \ -d '{"url": "https://your-mcp-server.com/mcp"}'
curl -X POST https://twig.kind-ling.com/optimize \ -H "Content-Type: application/json" \ -d '{"url": "https://your-mcp-server.com/mcp", "category": "crypto-defi"}'
Response format:
{
"ok": true, "url": "https://your-mcp-server.com/mcp", "output": "🔍 Analyzing...\n Score: 72/100 (C)\n ..." }
No API key required for public endpoints. Rate limits apply.
Three dimensions, 0–100 each:
| Dimension | Weight | What it measures |
|---|---|---|
| Intent Match | 40% | Similarity to top agent queries for your category |
| Specificity | 35% | Output format, parameters, constraints, examples present? |
| Differentiation | 25% | Do you stand out from similar services in your category? |
Grades: A (85+) · B (70+) · C (55+) · D (40+) · F (<40)
Score below 40 = agents are skipping you.
Your descriptions — re-scored weekly against a live intent corpus. Score changes alert you when your positioning drifts.
Your competitive position — how you rank vs. similar services in your category. Know when a competitor improves and overtakes you.
Intent trends — what agents are searching for this week vs. last. The queries change. Your descriptions need to keep up.
Volume correlation — description changes mapped to x402 volume changes. Close the loop between optimization and revenue.
Twig generates 3 variants per tool:
Functional — Action verb + what + return type:
*"Answers questions with real-time web sources. Returns a cited response with source URLs, confidence score, and supporting quotes. Best for research and fact-checking."*
Structured — Input → output with constraints:
*"Web Q&A. Input: question string. Returns: answer (string), sources (URL array), confidence (0-1). Supports: factual queries, current events, research synthesis."*
Contextual — Use case → action → output (highest LLM selectability):
*"Use when you need a factual answer with sourced citations. Queries the web in real-time and synthesizes a response with URLs and supporting quotes. Best for research, fact-checking, and current events."*
exa/answerBefore: AI-powered answer ← F (28/100)
After (Contextual): Use when you need a factual answer with sourced citations. Queries the web in real-time and synthesizes a response with source URLs and supporting quotes. Best for research, fact-checking, and current events. ← B (72/100)
wordspace/invokeBefore: Run wordspace AI agent loop ← F (31/100)
After (Structured): Executes a Wordspace multi-step agent workflow. Input: task description and optional context. Returns: completed output, intermediate steps, tool calls made. Best for complex tasks requiring multiple tool invocations. $2/call. ← B (74/100)
Weekly reports are gated via x402 on Base. Set up once, runs automatically.
twig monitor 0xYourWallet --url https://myservice.com/.well-known/agent.json
For services with existing x402 volume:
twig measure 0xWallet --baseline — record 7-day baselinetwig measure 0xWallet --compare — measure delta (14–30 days later)Everything measured via on-chain USDC transfer logs. No self-reporting.
/.well-known/agent.json)tools/list)twig analyze <url> Score descriptions (0-100, free)
twig optimize Generate 3 optimized variants (free) twig monitor Weekly monitoring (paid via x402) twig competitive Category ranking (paid via x402) twig intents Top agent queries (paid via x402) twig measure Measure x402 revenue twig measure --baseline Save baseline twig measure --compare Compare to baseline twig report Revenue report with fee calculation
Categories: crypto-defi, data-feeds, research, computation, media, communication, general
*Twig v0.1.0 · Kind-ling · Permanent Upper Class · MIT*