Blowback (Frontend Development)
B

Blowback (Frontend Development)

A CLI tool for managing project version changes and releases using the changesets tool
2.5 points
8.1K

What is the MCP server?

The MCP server is a tool designed for model developers. It manages the context data of models through a unified protocol, ensuring information synchronization and efficient collaboration during multi - task processing of models.

How to use the MCP server?

You can quickly start the MCP server through simple configuration and commands, connect multiple model instances, and achieve real - time communication between them.

Applicable scenarios

The MCP server is suitable for scenarios that require complex model collaboration, such as multi - task learning, distributed training, or cross - device model collaboration.

Main Features

Unified Context Management
Supports centralized storage and distribution of context data required by models.
Multi - Protocol Support
Compatible with multiple mainstream communication protocols, such as HTTP, WebSocket, etc.
Real - Time Monitoring
Provides real - time log and performance metric monitoring for easy debugging and optimization.
Advantages
Simplify the model collaboration process and improve development efficiency.
Support high - concurrency processing, suitable for large - scale applications.
Open API interfaces, easy to integrate into existing systems.
Limitations
Requires high hardware resources and may not be suitable for low - configuration environments.
Initial configuration is relatively complex and requires a certain technical background.

How to Use

Install the MCP Server
Download and install the MCP server software, and ensure that the dependencies are correctly configured.
Configure the Server
Edit the configuration file to specify the listening port and context data path.
Start the Server
Run the command to start the MCP server and wait for model connections.

Usage Examples

Example 1: Multi - Model Collaborative Training
Two models share context data through the MCP server to achieve joint training.
Example 2: Real - Time Monitoring and Optimization
Administrators can monitor the running status of models in real - time through the MCP server and adjust parameters.

Frequently Asked Questions

Does the MCP server support custom protocols?
How to solve the problem of model connection failure?
Is the MCP server open - source?

Related Resources

Official Documentation
Comprehensive user manual and API reference.
GitHub Code Repository
Source code and contribution guidelines.
Tutorial Video
Quick start guide.

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
8.6K
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
7.1K
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
12.9K
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
10.0K
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
11.8K
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
18.4K
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
28.5K
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
54.6K
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#
23.2K
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
52.1K
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
17.1K
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
36.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase