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)
An MCP server gateway that minimizes context usage via progressive Lua-driven discovery 🌙
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": {
"my-cool-proxy": {
"command": "npx",
"args": [
"-y",
"@karashiiro/my-cool-proxy"
]
}
}
}在终端中运行这条命令
claude mcp add my-cool-proxy -- npx -y @karashiiro/my-cool-proxy粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"my-cool-proxy": {
"command": "npx",
"args": [
"-y",
"@karashiiro/my-cool-proxy"
]
}
}
}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": {
"my-cool-proxy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@karashiiro/my-cool-proxy"
]
}
}
}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 karashiiro 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(1.5.4)于9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, Agent Data Tools: Utilities
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.
103 tools: JSON repair, CSV, hashes, cron, dates, units, validators. 25 free calls.
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。
My Cool Proxy is a Model Context Protocol (MCP) server gateway that tries to solve a lot of perceived problems with MCP as it exists today. In no particular order, those are that:
gh CLI to interact with GitHub, but it can then use the gh CLI to perform mutating or destructive operations, as well. With the GitHub MCP Server, you can instead scope things down to read-only tools trivially. MCP allows you to tightly control what tools agents have access to. To assist with this, My Cool Proxy allows you to further filter the tools exposed to agents.Install it globally to use it as a CLI tool:
npm install -g @karashiiro/my-cool-proxy
Or run it directly via npx:
npx @karashiiro/my-cool-proxy
The gateway auto-creates a default config on first run. Just run it once to generate the config file:
my-cool-proxy # Creates config and starts (with no servers)
my-cool-proxy --config-path
Then edit the config to add your MCP servers.
Example config structure:
{
"port": 3000, "host": "localhost", "mcpClients": { "my-server": { "type": "http", "url": "https://example.com/mcp" } } }
Or, copy the example config for a more complete starting point.
# If installed globally
my-cool-proxy
npx @karashiiro/my-cool-proxy
Add it to your MCP client config in e.g. Claude Desktop:
{
"mcpServers": { "my-cool-proxy": { "url": "http://localhost:3000/mcp" } } }
Ask your agent to perform a task that your configured MCP servers can help with, and watch it run!
This proxy acts as a gateway between agents and multiple MCP (Model Context Protocol) servers. Instead of connecting to each MCP server individually, agents connect to this single proxy and gain access to all configured servers through a unified interface.
Agents start with minimal knowledge about what servers or tools are available. They build context progressively:
list-servers - The agent's context now includes names and descriptions of all available MCP servers (e.g., "github", "slack", "database")list-server-tools(server_name) - The agent's context expands to include all tool names and descriptions for that specific servertool-details(server_name, tool_name) - The agent's context now has complete parameter schemas, return types (if available), and usage examples for a specific toolexecute(lua_script) - With full context, the agent can write Lua scripts that call the discovered toolsRather than loading all tools and tool descriptions into the context upfront, this defers loading tools until the agent determines those tools are needed.
Tool Chaining with Lua: Once an agent knows what tools exist, they can compose complex multi-step workflows in a single execute() call, saving the context overhead of any intermediate tool results. The Lua runtime provides access to all discovered servers as globals, with tools callable as async functions.
Sequential tool chaining:
local raw_data = api_server.fetch({ id = 123 }):await()
local processed = processor.transform({ input = raw_data }):await() result(processed)
Conditional logic:
local status = checker.validate({}):await()
if status.ok then result(processor.run({}):await()) else result(error_handler.notify({ error = status.message }):await()) end
Iteration with loops:
local results = {}
for i = 1, 5 do results[i] = worker.process({ index = i }):await() end result({ total = #results, data = results })
Gateway Skills are My Cool Proxy's implementation of Agent Skills - reusable context documents that agents can load as MCP Resources. When enabled, agents can:
_gateway.list_resources() Lua builtin; look for gw-skill:// URIs)_gateway.read_resource() Lua builtin_gateway.invoke_skill_script() Lua builtinWhile many agents implement their own skill systems already, these systems are highly fragmented, and it is difficult to reuse the same skills across multiple separate agent applications. While some systems such as skills.sh solve this by copying skills between applications explicitly, My Cool Proxy solves this by centralizing all skills into its own skill management system and exposing them over MCP. To distinguish these from existing skill systems, My Cool Proxy refers to these as "Gateway Skills."
Gateway Skills are disabled by default as they may conflict with existing skill systems built into your agent. See the Configuration Guide for setup options.
For a deeper design discussion about why Gateway Skills are implemented this way, refer to this section in the design docs.
My Cool Proxy includes an optional web dashboard for monitoring gateway activity. When enabled, it runs on a separate port and provides:
Enable it by adding a dashboard section to your config:
{
"dashboard": { "port": 3100, "host": "localhost" } }
Then visit http://localhost:3100 in your browser. See the Configuration Guide for details.
See the Configuration Guide for the full config reference.
| Feature | Supported? | Details |
|---|---|---|
| Tools | ✅ | My Cool Proxy expects tools to be supported at a bare minimum. Fortunately, everything that supports MCP supports tools. |
| Prompts | ✅ | My Cool Proxy forwards prompts from your MCP servers to the connected client and provides _gateway.get_prompt() and _gateway.list_prompts() Lua builtins for agents to load them within scripts. |
| Resources | ✅ | My Cool Proxy both forwards resources from your MCP servers to the connected client and provides _gateway.read_resource() and _gateway.list_resources() Lua builtins for agents to load them within scripts. |
| Server Instructions | ✅ | My Cool Proxy loads excerpts of the instructions of connected MCP servers into its own server instructions, and also sends full copies through the list-servers tool when invoked. |
| Discovery Notifications
只显示了开头部分;其余内容请在仓库中阅读