MCP Serverly
MCP SERVERLY is a project that implements the Model Context Protocol (MCP) based on the official Anthropic SDK. The core service and client development have been completed, and the Docker image is being built.
rating : 2 points
downloads : 19
What is MCP SERVERLY?
MCP SERVERLY is a service project that implements the Model Context Protocol (MCP). It is built on the official Anthropic SDK and aims to provide a standardized implementation of the model context management protocol. This project can help developers manage and interact with AI model contexts more efficiently.How to use MCP SERVERLY?
Through the provided client and server implementations, developers can easily integrate the MCP protocol into their own applications. Basic usage includes starting the service, connecting the client, and sending context requests.Applicable Scenarios
Suitable for scenarios that require managing complex AI model contexts, such as multi - turn dialogue systems, context - aware applications, and AI interaction systems that require long - term memory.Main Features
General Shared ServiceProvides a standardized shared service interface for easy communication between different components
MCP Service ImplementationFully implements the server - side functions of the Model Context Protocol
MCP ClientProvides an easy - to - integrate client implementation that supports multiple programming languages
Test SuiteContains a complete set of test cases to ensure service stability
Advantages and Limitations
Advantages
Based on the official Anthropic SDK, with good compatibility
Standardized protocol implementation, easy to integrate
Provides complete server and client implementations
Contains test cases, ensuring quality
Limitations
Currently lacks Docker image support (under development)
Limited support for non - Anthropic models
Documentation needs to be improved
How to Use
Clone the Project
Clone the MCP SERVERLY project from the code repository to your local machine
Install Dependencies
Install all the dependencies required by the project
Start the Service
Run the MCP service
Connect the Client
Use the provided client to connect to the MCP service
Usage Examples
Multi - turn Dialogue SystemUse MCP to maintain the dialogue context and achieve coherent multi - turn dialogues
Context - aware ApplicationProvide personalized responses based on historical interactions
Frequently Asked Questions
What is the MCP protocol?
Do I need an Anthropic API key?
When will Docker support be available?
Related Resources
Anthropic Official Documentation
Official documentation for the Anthropic API and SDK
GitHub Repository
Project source code and issue tracking
MCP Protocol Specification
Detailed specification of the Model Context Protocol
Featured MCP Services

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
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

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
79
4.3 points

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
130
4.5 points

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#
554
5 points

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
6.6K
4.5 points

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
5.2K
4.7 points

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
745
4.8 points