Basic MCP Server
B

Basic MCP Server

A basic MCP server project that provides installation and operation guides, including cloning the repository, installing dependencies, configuring environment variables, and starting the service.
2 points
4.9K

What is the Basic MCP Server?

The Basic MCP Server is a lightweight Python-based server that implements the Model Context Protocol (MCP) standard. It allows users to remotely manage and invoke AI models through simple API interfaces.

How to use the Basic MCP Server?

The server can be deployed through simple installation steps, and then users can interact with the server via HTTP requests to perform operations such as model loading and inference.

Applicable scenarios

Suitable for scenarios that require remote management of AI models, such as cloud model services, multi-node model deployment, and model testing environments.

Main features

Model management
Provides functions for model loading, unloading, and status query
Remote inference
Perform remote model inference through the API interface
Hot reload
Supports the hot reload function during development (--reload parameter)
Advantages
Easy to use and quick to deploy
Supports hot reload for easy development and debugging
Based on the standard MCP protocol with good compatibility
Limitations
Relatively basic functions, lacking advanced management features
Currently, there is less documentation, and the learning curve may be steep
Limited performance optimization space

How to use

Clone the code repository
Get the server source code from GitHub
Install the uv tool
Install the Python package management tool uv
Install dependencies
Use uv to install all necessary Python dependencies
Configure environment variables
Configure the required environment variables according to the example in the.env.copy file
Start the server
Start the development server using uvicorn

Usage examples

Model testing in the development environment
Quickly test AI models in the local development environment
Remote inference service
Provide remote model inference services for mobile applications

Frequently Asked Questions

How to check if the server is running normally?
Why is it necessary to install the uv tool?
How to configure the production environment?

Related resources

GitHub repository
Project source code and latest updates
uv documentation
Documentation for using the uv tool
MCP protocol specification
Official documentation of the Model Context 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
5.7K
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
6.8K
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
5.9K
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
5.7K
4 points
P
Paperbanana
Python
7.1K
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
8.3K
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
7.9K
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
8.0K
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
35.4K
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
26.4K
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
21.1K
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
73.8K
4.3 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#
33.5K
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
66.2K
4.5 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
22.6K
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
51.0K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase