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MCP Server Template
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MCP Server Template

A project template for an MCP server, used in conjunction with MCP clients and supporting Docker containerized deployment.
Developer toolsArtificial intelligence chatbots#MCP server#Docker deployment#Open - source project.TypeScript
2 points
3

What is MCP_SERVER?

MCP_SERVER is a server based on the Model Context Protocol (MCP), allowing users to interact with models through the command line or integration. It is mainly used to process and respond to requests from MCP clients.

How to use MCP_SERVER?

To use MCP_SERVER, you can run the server via Docker and configure the MCP client to connect to it. This makes model interaction more flexible and efficient.

Applicable scenarios

MCP_SERVER is suitable for applications that need to interact with models, such as natural language processing, code generation, data query, etc. It is particularly suitable for scenarios that require rapid deployment and scaling.

Main features

Model interaction supportSupports interaction with multiple models, providing a unified interface to process requests and return results.
Docker integrationDeployed through Docker containerization, simplifying the installation and management process.
ScalabilityDesigned with a scalable architecture, supporting the addition of more functions and models in the future.

Advantages and limitations

Advantages
Easy to deploy and use, supporting Docker containerization.
Provides a unified interface for easy interaction with various models.
Supports rapid development and expansion, adapting to different application scenarios.
Limitations
Depends on the Docker environment and may require additional configuration.
Has a steep learning curve for users unfamiliar with container technology.
Currently, the functions are focused on basic model interaction, and advanced functions may require custom development.

How to use

Install Docker
Ensure that Docker is installed on your system, which is a prerequisite for running MCP_SERVER.
Pull and run MCP_SERVER
Use the following command to pull and run MCP_SERVER from Docker Hub: docker run -i --rm ghcr.io/koki-develop/MCP_SERVER:latest
Configure the MCP client
Add the configuration information of MCP_SERVER to the MCP client so that it can connect to the server correctly.

Usage examples

Natural language processing tasksUsers send natural language queries through the MCP client, and MCP_SERVER invokes relevant models to process the requests and return results.
Code generationUsers request to generate code for specific functions, and MCP_SERVER uses models to generate code and return it to users.

Frequently Asked Questions

Does MCP_SERVER support the Windows system?
How to update MCP_SERVER?
Can MCP_SERVER be integrated with other services?

Related resources

GitHub repository
The source code and documentation of MCP_SERVER, including detailed usage instructions and contribution guidelines.
Docker Hub
The Docker image page of MCP_SERVER, providing the latest image version and usage methods.
MCP protocol documentation
The official documentation of the Model Context Protocol, detailing the protocol specifications and usage methods.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "MCP_SERVER": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/koki-develop/MCP_SERVER:latest"
      ]
    }
  }
}
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