%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Demo MCP Server With Go
An MCP server project based on Docker and MCPHost, supporting data retrieval from the database via curl and integrating Anthropic's LLM services.
rating : 2 points
downloads : 11
What is the MCP Server?
The MCP Server is a model context protocol server that allows users to interact with large language models (such as Claude 3) through a simple command-line interface. It integrates database query functions to retrieve and process data.How to use the MCP Server?
Run the server through a Docker container, use the mcphost tool to connect and configure the LLM provider (such as Anthropic), and then send queries through the interactive command-line interface.Use cases
Suitable for application scenarios that require combining the capabilities of AI models and database queries, such as data analysis, intelligent question-answering systems, and automated report generation.Main features
Docker integrationDeployed through Docker containers to ensure environment consistency and convenient deployment
LLM provider supportSupports large language model providers such as Anthropic, allowing flexible configuration of different models
Database queryBuilt-in ability to retrieve data from the database, seamlessly integrated with AI model processing
Interactive command lineProvides a friendly command-line interface, supporting multi-line input and editor mode
Advantages and limitations
Advantages
Simple and fast containerized deployment
Supports mainstream LLM providers
Combines database query and AI processing capabilities
Interactive interface is easy to use
Limitations
Requires an API key to access LLM services
Depends on the Docker environment
Currently, there is less documentation
How to use
Build the Docker image
First, you need to build the Docker image of the server
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Install the mcphost tool
Install the mcphost client tool using Go
Configure the API key
Set the API key of the LLM provider (such as Anthropic)
Start the server
Use mcphost to start the server and specify the configuration file
Usage examples
Data analysis queryRetrieve sales data from the database and let the AI analyze trends
Intelligent question-answeringAnswer business questions based on the database content
Frequently Asked Questions
What prerequisites are required to run the MCP server?
How can I switch to a different LLM model?
Does it support other LLM providers besides Anthropic?
Related resources
MCPHost GitHub repository
Source code and documentation for the mcphost tool
Docker official documentation
Docker installation and usage guide
Anthropic API documentation
Anthropic API usage instructions
Featured MCP Services
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
1.7K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
834
4.3 points
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
147
4.5 points
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
94
4.3 points
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#
571
5 points
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
6.7K
4.5 points
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
285
4.5 points
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
758
4.8 points