Awesome Awesome MCP Servers
A curated list of MCP servers, collecting multiple popular MCP server projects on GitHub.
rating : 2 points
downloads : 27
What are MCP Servers?
MCP Servers are specialized implementations of the Model Context Protocol, designed to facilitate the deployment, management, and interaction with AI models in production environments.How to use MCP Servers?
These servers typically provide REST APIs or gRPC interfaces for model inference, monitoring, and management. They can be deployed as standalone services or integrated into larger AI platforms.Use Cases
Ideal for AI model serving, multi-model pipelines, edge computing deployments, and scenarios requiring standardized model interfaces.Key Features
Standardized ProtocolImplements the Model Context Protocol for consistent model interfaces
Multi-Model SupportCan serve multiple AI models simultaneously with proper isolation
Built-in MonitoringProvides metrics and logging for model performance tracking
Pros and Cons
Advantages
Standardized interface simplifies integration
Supports multiple frameworks (TensorFlow, PyTorch, etc.)
Scalable architecture for production workloads
Limitations
May require additional configuration for optimal performance
Learning curve for teams new to MCP
Some implementations may have limited model format support
Getting Started
Choose an Implementation
Select one of the featured MCP server implementations based on your requirements
Deploy the Server
Follow the installation instructions for your chosen implementation
Load Models
Register your AI models with the server using the management API
Example Use Cases
Text GenerationUsing GPT model for text completion
Image ClassificationClassifying images with ResNet
Frequently Asked Questions
What's the difference between MCP and other model serving solutions?
Can I use MCP servers with custom models?
Additional Resources
Official MCP Documentation
Complete protocol specification and API references
MCP Server Implementations
Reference implementation and other server variants
MCP Community Forum
Discussion and support from the MCP community
Featured MCP Services

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
88
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
142
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
831
4.3 points

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

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
6.7K
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#
568
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

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
285
4.5 points