AIBase
EN
Explore
Hello MCP Server
H

Hello MCP Server

A simple implementation of the Model Context Protocol (MCP) server, demonstrating basic functions such as resource handling, prompt management, and tool execution, including TypeScript support and built - in testing.
Developer toolsArtificial intelligence chatbots#Protocol Server#Resource Handling#Prompt Management#Tool Integration.TypeScript
2 points
7.4K
Open Site

Overview

Content Details

Alternatives

What is MCP Server?

MCP Server is a lightweight server based on the Model Context Protocol, designed to help developers quickly build and manage resources, prompts, and tools related to AI models. It provides standardized interfaces to handle various AI model interaction scenarios.

How to use MCP Server?

After simple installation and configuration, you can start the server via the command line and then use API calls to manage resources, generate prompts, or execute tools. The server has built - in testing functions for easy verification of various functions.

Applicable Scenarios

Suitable for scenarios that require centralized management of AI model interaction components, such as: developing AI application prototypes, building prompt libraries, creating reusable model tools, etc.

Main Features

Resource Handling
Supports managing various AI model resources through templates for easy reuse and sharing
Prompt Management
Provides standardized prompt generation and management functions
Tool Execution
Supports defining and executing various AI model - related tools
TypeScript Support
Developed with TypeScript, providing good type checking and development experience
Built - in Testing
Includes a complete test suite to ensure functional stability
Advantages
Lightweight and easy to deploy
Provides standardized model interaction interfaces
Supports resource templating to improve reusability
Built - in testing ensures stability
Comprehensive TypeScript type support
Limitations
Currently, the functions are relatively basic and suitable for small - scale projects
Lacks an advanced user interface and is mainly targeted at developers
There is room for performance optimization and it is not suitable for high - concurrency scenarios

How to Use

Installation
Ensure that the Node.js environment is installed, then run the installation command
Build
Compile TypeScript code into JavaScript
Start the Server
Run the start command, which listens on port 3000 by default
Testing
Run the test script to verify the functions

Usage Examples

Manage Prompt Templates
Create and manage prompt templates for different AI models
Execute Data Processing Tools
Use built - in tools to process input data
Test Resource Validity
Verify whether the resource templates are correctly loaded

Frequently Asked Questions

What running environment does MCP Server require?
How to add custom resources?
Can multiple MCP Server instances run simultaneously?
How to extend the server functions?

Related Resources

GitHub Repository
Project source code and the latest version
Model Context Protocol Documentation
Official documentation of the MCP protocol
Node.js Official Website
Download and documentation for the Node.js running environment

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
4.8K
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
5.4K
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
4.9K
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
6.2K
4 points
P
Paperbanana
Python
7.4K
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
6.0K
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
6.7K
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
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
21.5K
4.5 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
34.5K
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
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
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
64.6K
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#
32.3K
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
49.3K
4.8 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
21.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase