MCP Server Template
M

MCP Server Template

A project template for an MCP server, used in conjunction with MCP clients and supporting Docker containerized deployment.
2 points
7.5K

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 support
Supports interaction with multiple models, providing a unified interface to process requests and return results.
Docker integration
Deployed through Docker containerization, simplifying the installation and management process.
Scalability
Designed with a scalable architecture, supporting the addition of more functions and models in the future.
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 tasks
Users send natural language queries through the MCP client, and MCP_SERVER invokes relevant models to process the requests and return results.
Code generation
Users 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"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.1K
4 points
P
Paperbanana
Python
7.3K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.9K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.4K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.1K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.2K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.0K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase