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My Cool Proxy

by karashiiroversion 1.5.4i★ –iRuns on your computer
Registry nameio.github.karashiiro/my-cool-proxy

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "my-cool-proxy": {
      "command": "npx",
      "args": [
        "-y",
        "@karashiiro/my-cool-proxy"
      ]
    }
  }
}

Run this in your terminal

claude mcp add my-cool-proxy -- npx -y @karashiiro/my-cool-proxy

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "my-cool-proxy": {
      "command": "npx",
      "args": [
        "-y",
        "@karashiiro/my-cool-proxy"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "my-cool-proxy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@karashiiro/my-cool-proxy"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account karashiiro, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32696 servers in this category
  • Published to the registry more recently than 3% of the other 32696 servers in this category
  • Basic checks equal to or better than 100% of the other 32696 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is My Cool Proxy safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.5.4) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, LexPact UK Contracts

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago
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Generate UK-law contracts: NDA, service, freelance, recruiter terms of business, IR35.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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