My Cool Proxy

io.github.karashiiro由 GitHub 账号 karashiiro 发布v1.5.4更新于 Oct 25, 2026

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

发布方自己的服务:Cool Computers

概览

AI 生成的概览

一个本地 MCP 网关,统一接入多个 MCP 服务器,让助手按需逐步发现工具并用 Lua 脚本串联调用,以节省上下文。

可以做什么
按需发现已配置的服务器、其工具及完整工具详情,而不是一次性全部载入,并通过网关的 Lua 内置函数读取转发的服务器说明、提示词和资源。编写 Lua 脚本把已发现的工具当作异步函数调用,支持顺序串联、条件判断和循环,并汇总进度,从而执行多步工作流。启用后可把 Gateway Skills 作为 MCP 资源加载并调用其脚本。通过可选的 Web 面板查看执行历史、工具调用日志和会话。
适用场景
当你连接多个 MCP 服务器、希望用一个统一入口同步各客户端配置时适用;也适合工具描述和结果占满上下文窗口的情况。需要在一个调用中组合多步工具流程的助手同样适用。
运行要求
以 npm 包形式在本地运行(需要 Node.js),可全局安装或通过 npx 启动,使用 stdio 传输。首次运行会自动生成配置文件,需编辑以列出上游 MCP 服务器;README 中的客户端示例通过 localhost 上的 HTTP 地址连接。未声明认证、环境变量或请求头。
安装前请注意
它是你所配置的所有服务器的统一入口,助手因此可访问这些服务器的全部工具,包括会修改数据的工具;README 建议通过过滤工具加以限制。Lua 脚本会实际执行工具调用,可选面板会在单独端口上展示执行历史和工具调用日志。尚不支持 OAuth 2.0 认证挑战;Gateway Skills 默认关闭,因为可能与助手自带的技能系统冲突。

安装

在 SourceWeft 中

  1. 打开 控制台中的 My Cool Proxy,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

My Cool Proxy

[NPM Version]

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:

bash
npm install -g @karashiiro/my-cool-proxy

Or run it directly via npx:

bash
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:

bash
my-cool-proxy  # Creates config and starts (with no servers)
# Find your config locationmy-cool-proxy --config-path

Then edit the config to add your MCP servers.

Example config structure:

json
{  "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

bash
# If installed globallymy-cool-proxy
# If running via npxnpx @karashiiro/my-cool-proxy

3. Connect

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

json
{  "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:

lua
local raw_data = api_server.fetch({ id = 123 }):await()local processed = processor.transform({ input = raw_data }):await()result(processed)

Conditional logic:

lua
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:

lua
local results = {}for i = 1, 5 do  results[i] = worker.process({ index = i }):await()endresult({ 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 execution dashboard preview, showing a list of Lua executions on the left side and the script and script results on the right side. The selected example shows a Playwright tool execution which returned the JS code for that tool and a browser screenshot as its result. The Lua script had browser_click and browser_take_screenshot calls. Each of those is individually clickable to show the result of the specific tool call.]

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:

json
{  "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✅My Cool Proxy listens to the tool/prompt/resource change notifications of connected MCP servers to automatically update its own internal registries, which reflects in subsequent tool calls.
Completions✅Prompt argument and resource template variable completions are forwarded from upstream servers to the connected client. Agents can also call _gateway.complete() within Lua scripts to discover valid values for resource template variables and prompt arguments.
Logging✅My Cool Proxy forwards logging notifications to the connected client, and logs them itself as well.
Roots✅roots/list requests are forwarded from upstream servers to the downstream client. notifications/roots/list_changed notifications from the downstream client are fanned out to all upstream servers. When the sampling shim is active, the first valid local root is used as the ACP agent's working directory.
Sampling✅My Cool Proxy supports shimming sampling support over ACP, though this is disabled by default. Refer to the configuration docs for more information.
Elicitation⚠️Elicitation requests (form and URL mode) are proxied from upstream servers to the connected client. No shim is (currently) available for clients that don't natively support elicitation (unlike sampling which can be shimmed via ACP).
Progress✅Progress notifications from upstream servers are forwarded to the connected client. When a Lua script calls multiple tools concurrently, their progress is aggregated (summed) into a single stream.
Tasks⚠️Calling tools that support tasks is supported, but without leveraging the status updates for anything interesting. Sampling/elicitation tasks are not currently supported.
OAuth 2.0❌OAuth 2.0 authentication challenges are not yet supported (but will be)
MCP Apps❌MCP Apps are not yet supported (but will be).

来源:README.md,提交 46bfe38

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.5.4最新Sep 16, 2026

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