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Awesome Awesome MCP Servers

Certified
A curated list of MCP servers, collecting multiple popular MCP server projects on GitHub.
2 points
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
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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Notte Browser
Certified
Notte is an open-source full-stack network AI agent framework that provides browser sessions, automated LLM-driven agents, web page observation and operation, credential management, etc. It aims to transform the Internet into an agent-friendly environment and reduce the cognitive burden of LLMs by describing website structures in natural language.
663
4.5 points
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
343
4 points
D
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
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
229
4 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
326
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
113
4 points
M
MCP Scan
MCP-Scan is a security scanning tool for MCP servers, used to detect common security vulnerabilities such as prompt injection, tool poisoning, and cross-domain escalation.
Python
618
5 points
A
Agentic Radar
Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.
Python
558
5 points
Featured MCP Services
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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
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
142
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
831
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
1.7K
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
6.7K
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#
568
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
5.2K
4.7 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
285
4.5 points
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