Bitte AI
The MCP proxy multi-repository project includes MCP server implementations for different services
2.5 points
7.2K

What is the MCP server?

The MCP (Model Context Protocol) server is a protocol for managing and controlling AI models. It allows developers to operate different AI services through a unified interface. Whether you need to handle natural language processing, image recognition, or other complex tasks, MCP can provide you with powerful support.

How to use the MCP server?

You can start using the MCP server in just a few steps: 1. Register and obtain the server address; 2. Add the server URL to the client configuration file; 3. Call the API to perform specific tasks.

Applicable scenarios

The MCP server is suitable for application scenarios that require high flexibility and scalability, such as enterprise-level AI solutions, personalized recommendation systems, and cross-platform collaboration tools.

Main Features

Unified Interface
Provides a consistent API interface to simplify the switching between different AI services.
Real-time Interaction
Supports real-time data stream transmission to ensure efficient data processing.
Multi-language Support
Is compatible with multiple programming languages to meet the needs of global developers.
Advantages
Easy to use without in-depth knowledge of underlying technologies.
High performance and high reliability, suitable for large-scale deployment.
Rich plugin ecosystem with strong scalability.
Limitations
Some advanced features may require additional payment.
Has certain requirements for the network environment. It is recommended to use a high-speed network.

How to Use

Register an Account
Visit the official website and create your personal or enterprise account.
Configure the Client
Add the MCP server address to the client settings.
Call the API
Send a request to trigger a specific operation.

Usage Examples

Natural Language Generation
Use MCP to generate high-quality article summaries.
Image Classification
Automatically classify the input pictures.

Frequently Asked Questions

Which programming languages does the MCP server support?
How to contact customer service?

Related Resources

Official Documentation
Detailed user guides and technical documents.
GitHub Code Repository
Source code of the open-source project and contribution guidelines.
Video Tutorials
Quick-start videos.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
7.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.3K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.5K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.7K
4 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
18.9K
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
20.6K
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
63.0K
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
31.2K
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
58.4K
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#
27.0K
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
18.8K
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
42.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase