原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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My Cool Proxy

作者:karashiiro版本 1.5.4i★ –i在你的电脑上运行
注册名称io.github.karashiiro/my-cool-proxy

安装

概览

作者提供的说明(英文原文)

An MCP server gateway that minimizes context usage via progressive Lua-driven discovery 🌙

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

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

在 Cursor 中打开

或者自己复制设置

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。

在 VS Code 中打开

或者自己复制设置

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 karashiiro 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32700 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32700 个服务器的 3% 更新
  • 基础检查结果等于或优于此分类中其他 32700 个服务器的 100%

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。

常见问题

My Cool Proxy 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

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。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities

替代选择

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Agent Data Tools: Utilities

作者:Nutshell2000

103 tools: JSON repair, CSV, hashes, cron, dates, units, validators. 25 free calls.

在云端运行今天更新
安装

作者的 README

打开 README

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

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:

  • Tool descriptions bloat the context window: This is a problem with how most agents integrate with MCP. Rather than implementing abstractions that enable tools to be loaded as needed, most applications dump all MCP tools into the context at once. To mitigate this, My Cool Proxy wraps tools in a Lua interpreter and exposes higher-level tools for discovering tools incrementally. Refer to Progressive Disclosure for more information.
  • Tool results bloat the context window, why not use Bash? Rather than using MCP tools, agents could just execute terminal commands and use bash to filter their results - however, this means allowing the agent to perform high-risk actions more frequently. For example, you could allow an agent to use the 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.
  • Most MCP features are unsupported: Unfortunately, most applications only expose MCP tools to agents, neglecting the other client and server features offered by the protocol. My Cool Proxy aims to be a common abstraction layer for as many protocol features as possible, which allows developers to use the full capabilities of MCP in any MCP-compatible application. This is a work in progress - check the feature support table for more details.
  • Managing a config file for multiple agents is a pain: If you use more than a single MCP-compatible application, you'll quickly run into challenges keeping your MCP server configuration synchronized across them. My Cool Proxy solves this by acting as a single integration point for every server you use, reducing the number of servers to keep in sync down to just one.

Quick Start

0. Installation

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
1. Configure

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)

Find your config location

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.

2. Run
# If installed globally

my-cool-proxy

If running via npx

npx @karashiiro/my-cool-proxy

3. Connect

Add it to your MCP client config in e.g. Claude Desktop:

{

"mcpServers": { "my-cool-proxy": { "url": "http://localhost:3000/mcp" } } }

4. Use It

Ask your agent to perform a task that your configured MCP servers can help with, and watch it run!

Progressive Disclosure

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:

  1. Check the server instructions - My Cool Proxy preloads a small prompt with brief excerpts of the configured servers and tools to prime the agent to use them.
  2. Call list-servers - The agent's context now includes names and descriptions of all available MCP servers (e.g., "github", "slack", "database")
  3. Call list-server-tools(server_name) - The agent's context expands to include all tool names and descriptions for that specific server
  4. Call tool-details(server_name, tool_name) - The agent's context now has complete parameter schemas, return types (if available), and usage examples for a specific tool
  5. Call execute(lua_script) - With full context, the agent can write Lua scripts that call the discovered tools

Rather 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

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:

  • Discover skills via an automatically-injected prompt in the gateway's server instructions (or via the _gateway.list_resources() Lua builtin; look for gw-skill:// URIs)
  • Read skill content via the _gateway.read_resource() Lua builtin
  • Execute skill scripts via the _gateway.invoke_skill_script() Lua builtin

While 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.

Web Dashboard

My Cool Proxy includes an optional web dashboard for monitoring gateway activity. When enabled, it runs on a separate port and provides:

  • Execution history — Browse all Lua script executions with syntax-highlighted scripts and results
  • Tool call log — See which MCP tools were called during each execution
  • Session monitoring — View active sessions, connected servers, and capabilities
  • Real-time updates — New executions stream to the dashboard via WebSocket

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.

Configuration

See the Configuration Guide for the full config reference.

MCP Feature Support Table

FeatureSupported?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

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