How do I install Cun?

Cun supports both local and remote installation. For local use, install it via the provided package manager and add the configuration to your AI app. For remote access, add the server URL to your MCP configuration.

What AI apps work with Cun?

Cun uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Cun MCP Server

by Miguelgarzons

Developer ToolsLow Risk10.0MCP RegistryLocalRemote

Free

Server data from the Official MCP Registry

Greet people by name with friendly, personalized messages. Add a warm touch to onboarding, demos,…

About

Greet people by name with friendly, personalized messages. Add a warm touch to onboarding, demos,…

Remote endpoints: streamable-http: https://server.smithery.ai/@miguelgarzons/mcp-cun/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

8 files analyzed · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

Character Counter MCP Server - Python Quickstart

A simple example of creating an MCP server using FastMCP and Python, designed to work with Smithery.

What This Does

This server provides a character counter tool called count_character that counts how many times a specific character appears in a given text. You'll test it using the Smithery Playground for interactive development.

Prerequisites

Python 3.12 or higher
A Python package manager (uv recommended, but pip, poetry, etc. also work)
Node.js and npx (optional, for Smithery Playground)

Quick Start

Clone the repository:

git clone https://github.com/smithery-ai/smithery-cookbook.git
cd smithery-cookbook/servers/python/quickstart

Install dependencies:

With uv (recommended):
```
uv sync
```
With poetry:
```
poetry install
```
With pip:
```
pip install -r requirements.txt
```
Run the server:

You have two options:

Option A: Just run the server
```
# With uv
uv run smithery dev
# or use the shorter script alias:
uv run dev

# With poetry
poetry run smithery dev
# or use the shorter script alias:
poetry run dev

# With pip (after installing dependencies)
smithery dev
```
This starts the MCP server on http://localhost:8081 and keeps it running.

Option B: Run server + open playground (recommended for testing)
```
# With uv
uv run smithery playground
# or use the shorter script alias:
uv run playground

# With poetry
poetry run smithery playground
# or use the shorter script alias:
poetry run playground

# With pip (after installing dependencies)
smithery playground
```
This starts the MCP server AND automatically opens the Smithery Playground in your browser where you can:
- Interact with your MCP server in real-time
- Test the count_character tool with different text and characters
- See the complete request/response flow
- Debug and iterate on your MCP tools quickly

Testing the Character Counter

Try asking: "How many r's are in strawberry?"

Deploy to Smithery: To deploy your MCP server:
- Push your code to GitHub (make sure to include the smithery.yaml)
- Connect your repository at https://smithery.ai/new

Your server will be available over HTTP and ready to use with any MCP-compatible client!

Stopping the Server

Press Ctrl+C in the terminal to stop the server.

Reviews

No reviews yet

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Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

8 files analyzed · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

Character Counter MCP Server - Python Quickstart

A simple example of creating an MCP server using FastMCP and Python, designed to work with Smithery.

What This Does

Prerequisites

Python 3.12 or higher

A Python package manager (uv recommended, but pip, poetry, etc. also work)

Node.js and npx (optional, for Smithery Playground)

Quick Start

Clone the repository:

git clone https://github.com/smithery-ai/smithery-cookbook.git
cd smithery-cookbook/servers/python/quickstart

Install dependencies:

With uv (recommended):

uv sync

With poetry:

poetry install

With pip:

pip install -r requirements.txt

Run the server:

You have two options:

Option A: Just run the server

# With uv
uv run smithery dev
# or use the shorter script alias:
uv run dev

# With poetry
poetry run smithery dev
# or use the shorter script alias:
poetry run dev

# With pip (after installing dependencies)
smithery dev

This starts the MCP server on http://localhost:8081 and keeps it running.

Option B: Run server + open playground (recommended for testing)

# With uv
uv run smithery playground
# or use the shorter script alias:
uv run playground

# With poetry
poetry run smithery playground
# or use the shorter script alias:
poetry run playground

# With pip (after installing dependencies)
smithery playground

This starts the MCP server AND automatically opens the Smithery Playground in your browser where you can:

Interact with your MCP server in real-time
Test the count_character tool with different text and characters
See the complete request/response flow
Debug and iterate on your MCP tools quickly

Testing the Character Counter

Try asking: "How many r's are in strawberry?"

Deploy to Smithery: To deploy your MCP server:

Push your code to GitHub (make sure to include the smithery.yaml)
Connect your repository at https://smithery.ai/new

Your server will be available over HTTP and ready to use with any MCP-compatible client!

Stopping the Server

Press Ctrl+C in the terminal to stop the server.