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The largest collection of MCP Servers.
Featured MCP Servers
View AllBlender
BlenderMCP connects Blender to Claude AI through the MCP, allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Redis
A MCP server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
Time MCP Server
A MCP server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Sequential Thinking
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
Official MCP Servers
View AllFeatured MCP Clients
View AllY Gui
A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Cherry Studio
New version of cherry studio is supporting MCP https://github.com/CherryHQ/cherry-studio/releases/tag/v1.1.1
HyperChat
HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.
Y Cli
A Tiny Terminal Chat App for AI Models with MCP Client Support
Latest MCP Servers
View Allmcp-yahoo-finance
mcp server for yahoo finance
Bitable MCP Server
This MCP server provides access to Lark Bitable through the Model Context Protocol. It allows users to interact with Bitable tables using predefined tools.
Meta MCP Server
A meta server for orchestrating and leveraging multiple MCP servers and tools based on user requests
Hermes MCP
Elixir MCP SDK
Latest MCP Clients
View AllCopilot MCP Client for VSCode
Dify Connect MCP
IP Asset Creation Agent with LangGraph
A LangGraph-based agent for creating, minting, registering IP assets with Story Protocol, and automatically posting about them on Twitter.
MCP AWS Client
FAQ
Frequently Asked Questions about MCP Servers & Clients
What is Model Context Protocol?
Model Context Protocol (MCP) is a standardized communication protocol that enables AI models to interact with external tools and services. It provides a secure and efficient way for AI assistants to access and manipulate data, making them more capable and versatile.
How can I create an MCP Server?
Creating an MCP server involves implementing the protocol specification and exposing your tools or services through standardized endpoints. You can start by using our SDK and following the documentation to build servers that provide specific functionalities to AI models.
What types of tools can I build?
You can build a wide range of tools, from simple utilities to complex integrations. Common examples include file operations, API wrappers, database connectors, code analysis tools, and specialized domain-specific tools for tasks like image processing or data analysis.
Is MCP suitable for enterprise use?
Yes, MCP is designed with enterprise requirements in mind. It includes features for security, access control, and scalability. Organizations can create private MCP servers to expose internal tools and services to AI models while maintaining full control over their data and resources.
How does versioning work in MCP?
MCP uses semantic versioning to manage compatibility between servers and clients. Each server can specify supported versions, and clients can negotiate the appropriate version to use. This ensures smooth upgrades and backwards compatibility when needed.
What about security and privacy?
Security is a core principle of MCP. The protocol includes built-in authentication, authorization, and encryption features. Servers can implement fine-grained access controls, and all communication is secured using industry-standard protocols.