AIBase
EN
Explore
Mcplab
M

Mcplab

MCPLab is a collection project of server-client examples, code snippets, design patterns, and tutorials focused on the Model Context Protocol (MCP), aiming to help developers quickly build MCP-driven applications.
Developer toolsArtificial intelligence chatbots#Protocol examples#Multi-language#Design patterns#Tutorials
2 points
8.6K
Open Site

Overview

Content Details

Alternatives

What is MCPLab?

MCPLab is a collection of development resources focused on the Model Context Protocol (MCP), providing implementation examples, code snippets, system design patterns, and tutorials for servers and clients. It helps developers quickly understand and apply the MCP protocol to build distributed application systems.

How to use MCPLab?

Get all the example code by cloning the repository, and then select examples for a specific language or scenario to learn and develop. Each example has a detailed README explaining its purpose and how to run it.

Applicable scenarios

Suitable for scenarios that require building distributed systems, microservice architectures based on the MCP protocol, or scenarios that require communication between models. Particularly suitable for the development of AI model servitization and multi - model collaborative applications.

Main features

Multi-language support
Provide MCP implementation examples in multiple programming languages such as Python, Java, and Go
Complete server-client examples
Include the implementation code for a complete MCP server and the corresponding client
Design patterns
Provide common design patterns and architectural blueprints for MCP systems
Tutorial guides
Tutorials on using the MCP protocol from basic to advanced levels
Advantages
Out-of-the-box MCP implementation examples to accelerate development
Multi-language support to meet the needs of different technology stacks
Clear documentation and tutorials to reduce the learning curve
Modular design for easy expansion and customization
Limitations
Currently mainly targeted at developers, lacking a user-friendly interface for non-technical users
Some advanced features need to be used in combination with specific frameworks
There are few examples of performance optimization

How to use

Clone the repository
Clone the MCPLab repository to the local development environment
Select an example
Select an example directory for a specific language or scenario according to your needs
Run the example
Install the dependencies and run the example according to the instructions in the README in the directory

Usage cases

Build an MCP server
Quickly set up a model server compatible with the MCP protocol using the Python example
Develop an MCP client
Develop an application that communicates with the MCP server based on the Java client example

Frequently Asked Questions

Which programming languages does MCPLab support?
How can I contribute my own MCP implementation?
Is there an MCP implementation available for the production environment?

Related resources

MCP Protocol Specification
Official specification document for the Model Context Protocol
GitHub Repository
Source code for the MCPLab project
MCP Getting Started Video Tutorial
Video tutorial on the basic use of the MCP protocol

Installation

Copy the following command to your Client for configuration
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
5.4K
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
6.4K
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
4.5K
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
6.7K
4 points
P
Paperbanana
Python
7.9K
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
6.7K
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
7.8K
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
6.7K
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
25.1K
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
36.1K
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
73.9K
4.3 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
21.8K
4.5 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
65.8K
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#
33.1K
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
22.3K
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
50.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase