Mcp Playground
What is Mcp Playground
mcp Playground is an environment for running model context protocol (mcp) servers, specifically utilizing the bun runtime. It enables developers to work with mcp-related functionalities and configurations seamlessly.
Use cases
This playground can be used for testing and developing applications that rely on the model context protocol. It is suitable for creating, running, and managing mcp servers in a controlled environment, facilitating experimentation and learning.
How to use
To set up, users need to install Docker, Aqua, and Mise. After installation, running ‘aqua i’ initializes the environment, and ‘mise trust’ allows the necessary permissions. The sample configuration ‘claud.sample.json’ must be customized with correct file paths and environment variables, followed by executing ‘docker compose up’ to start the server.
Key features
Key features include the ability to run mcp servers quickly with Docker, customizable configuration through JSON, and robust installation and setup through Aqua and Mise, which ensures dependencies are managed effectively.
Where to use
mcp Playground is particularly useful in development settings where there is a need to implement and test model context protocols, making it ideal for developers working on applications in AI, machine learning, and data-driven projects.
Overview
What is Mcp Playground
mcp Playground is an environment for running model context protocol (mcp) servers, specifically utilizing the bun runtime. It enables developers to work with mcp-related functionalities and configurations seamlessly.
Use cases
This playground can be used for testing and developing applications that rely on the model context protocol. It is suitable for creating, running, and managing mcp servers in a controlled environment, facilitating experimentation and learning.
How to use
To set up, users need to install Docker, Aqua, and Mise. After installation, running ‘aqua i’ initializes the environment, and ‘mise trust’ allows the necessary permissions. The sample configuration ‘claud.sample.json’ must be customized with correct file paths and environment variables, followed by executing ‘docker compose up’ to start the server.
Key features
Key features include the ability to run mcp servers quickly with Docker, customizable configuration through JSON, and robust installation and setup through Aqua and Mise, which ensures dependencies are managed effectively.
Where to use
mcp Playground is particularly useful in development settings where there is a need to implement and test model context protocols, making it ideal for developers working on applications in AI, machine learning, and data-driven projects.
Content
mcp Playground
mcp servers run on bun
Requirement
setup
aqua i mise trust
claud.sample.json is a sample configuration for this repository.
you need adjust the file paths and the environment variables
For details, see the documentation
run
docker compose up