MCP Server Client
M

MCP Server Client

The UV toolchain project provides Python dependency management and service running functions, supporting dependency synchronization, service startup, and client testing.
2 points
7.3K

What is Model Context Protocol (MCP)?

MCP is a protocol for model context management, aiming to optimize the performance of models in multi - round conversations. It allows efficient transfer and sharing of model states between clients and servers.

How to use the MCP server?

You can quickly start using it by installing and starting the server and running the client script. Both synchronous and asynchronous modes are supported.

Applicable Scenarios

Suitable for application scenarios that require cross - device or multi - round conversation context sharing, such as chatbots and virtual assistants.

Main Features

Efficient Context Management
Supports dynamic update and persistence of model context to enhance the interaction experience.
Synchronous and Asynchronous Communication
Provides both synchronous and asynchronous communication methods to meet different needs.
Cross - Platform Compatibility
Supports clients of multiple operating systems and programming languages.
Advantages
Efficient context transfer mechanism
Flexible synchronous and asynchronous options
Easy to integrate into existing systems
Limitations
Sensitive to network latency
Advanced features may require additional learning costs

How to Use

Install the UV Tool
First, make sure the UV tool is installed, which is used to manage the MCP server and client.
Initialize the Environment
Execute `uv sync` to synchronize dependencies.
Start the Server
Run `uv run server.py` to start the MCP server.
Test the Client
Use `uv run test_mcp_client.py` to verify the functionality.
Synchronous Mode Test
Run the synchronous client script for further testing.

Usage Examples

Chatbot Context Sharing
Share user preferences and historical records in multi - round conversations.
Cross - Device Session Restoration
Seamlessly switch between different devices and continue the unfinished conversation.

Frequently Asked Questions

How to install the UV tool?
What's the difference between synchronous and asynchronous modes?
How to solve the network latency problem?

Related Resources

Official Documentation
Comprehensively understand the UV tool and its usage methods.
GitHub Code Repository
View the source code and participate in community contributions.
Video Tutorial
A quick - start operation demonstration of 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

A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
8.7K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
6.9K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
13.8K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
11.9K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.6K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
8.9K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.6K
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
17.5K
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
19.3K
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
54.2K
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
28.3K
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#
24.0K
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
50.8K
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
18.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
75.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase