Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
An MCP server gateway that minimizes context usage via progressive Lua-driven discovery 🌙
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"my-cool-proxy": {
"command": "npx",
"args": [
"-y",
"@karashiiro/my-cool-proxy"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add my-cool-proxy -- npx -y @karashiiro/my-cool-proxyPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"my-cool-proxy": {
"command": "npx",
"args": [
"-y",
"@karashiiro/my-cool-proxy"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"my-cool-proxy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@karashiiro/my-cool-proxy"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub karashiiro, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.5.4) llegó al registro hace 9 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Claude Checkpoint MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo