Model Context Protocol Servers Directory

Discover, explore, and connect to MCP servers that enhance your AI applications with powerful context and tools.

Browse ServersLearn About MCP
Agent-Ready
Standardized
Context-Rich
MCP Terminal
$ connect mcp-server
✓ Connected to MCP Server
$ list tools
Tools: searchRepository, createIssue, analyzePR
$ list resources
Resources: repositoryContent, issueDetails
$ invoke searchRepository
▋

Why Use MCP Servers?

MCP servers standardize how AI applications interact with external systems, providing powerful capabilities to your AI workflows.

Enhanced Context

Provide rich context to AI models from your tools and data sources.

Standardized Integration

Connect any AI application to any server with zero additional work.

Composable Architecture

Build complex AI systems by combining multiple MCP servers.

Agent-Ready

Empower AI agents with tools and capabilities to accomplish complex tasks.

Featured MCP Servers

Explore these popular MCP servers to enhance your AI applications.

GitHub
Access GitHub repositories, issues, and pull requests.
Tools
Resources
Prompts
Official

Enables AI applications to interact with GitHub repositories, manage issues, create pull requests, and more.

View Details
Vector Database
Query and manage vector embeddings for RAG applications.
Tools
Resources
Community

Store, retrieve, and manage vector embeddings for retrieval-augmented generation and semantic search.

View Details
Document Processor
Extract, analyze, and transform document content.
Tools
Resources
Prompts
Community

Process various document formats, extract structured data, and transform content for AI consumption.

View Details
View All Servers

About Model Context Protocol

MCP is an open protocol that enables seamless integration between AI applications and your tools and data sources.

What is MCP?
Model Context Protocol standardizes how AI applications interact with external systems

MCP (Model Context Protocol) is an open protocol that enables seamless integration between AI applications and your tools and data sources. It standardizes how AI applications interact with external systems, providing a unified interface for connecting AI models to the tools and data they need.

MCP was developed by Anthropic to address the fragmentation in how AI systems are built and integrated with external tools and data sources. It provides a standard way for AI applications to access and interact with various systems, from databases to APIs to local file systems.

By using MCP, developers can build AI applications that can connect to any MCP-compatible server with zero additional work, making it easier to create powerful, context-rich AI applications.

MCP Server Directory

Browse and discover MCP servers for your AI applications.

Loading servers...