AIBase
EN
Explore
Seminario Client Server MCP
S

Seminario Client Server MCP

A basic MCP client-server implementation project based on the Python SDK, including environment configuration, dependency installation, and running steps.
Developer toolsArtificial intelligence chatbots#MCP Protocol#Client#Server#Python.Python
2 points
9.1K
Open Site

Overview

Content Details

Alternatives

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an open protocol for managing and transmitting model context information. It allows seamless collaboration between clients and servers, supporting complex task processing, such as data sharing, model inference, and real-time feedback.

How to use the MCP server?

By installing the MCP client and server, you can easily set up a model workflow. Configuration and operation can be completed in just a few steps. It supports various application scenarios, including local deployment and cloud integration.

Applicable Scenarios

The MCP server is very suitable for application scenarios that require high-efficiency model collaboration, such as machine learning project development, enterprise data analysis, and scientific research experiments.

Main Features

Model Context Management
Supports the creation, update, and deletion of dynamic contexts to ensure data consistency.
Multi-client Support
Allows multiple clients to connect to the server simultaneously for concurrent task processing.
Cross-platform Compatibility
Supports mainstream operating systems (Windows, Linux, macOS) for easy deployment in different environments.
Advantages
High-efficiency model collaboration ability
Flexible context management mechanism
Easy to integrate into existing systems
Limitations
Some dependence on the network environment
It may take some time to get familiar with the initial configuration

How to Use

Install the MCP Server
Clone the code repository and install the dependencies according to the provided installation guide.
Configure the API Key
Insert your API key into the client.py file.
Start the Server
Run server.py to start the MCP server.

Usage Examples

Case Title: Distributed Inference
Use the MCP server to connect multiple clients for distributed inference tasks.
Case Title: Dynamic Context Management
Demonstrate how to dynamically add and delete context data.

Frequently Asked Questions

How to quickly start using the MCP server?
Does MCP support cross-language development?

Related Resources

GitHub Code Repository
The official code repository for the MCP server.
Python SDK Documentation
The official Python SDK documentation for the MCP protocol.
Video Tutorial
A video tutorial for quickly getting started with the MCP server.

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
5.3K
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
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
20.7K
4.5 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
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