What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect with external data sources and tools. Think of it as USB-C for AI - a universal way to provide context.
Reference Servers (Official)
Everything
Reference/test server with prompts, resources, and tools
OfficialFetch
Web content fetching and conversion for efficient LLM usage
OfficialFilesystem
Secure file operations with configurable access controls
OfficialGit
Tools to read, search, and manipulate Git repositories
OfficialMemory
Knowledge graph-based persistent memory system
OfficialSequential Thinking
Dynamic and reflective problem-solving through thought sequences
OfficialTime
Time and timezone conversion capabilities
OfficialPopular Community Servers (25+)
GitHub
Interact with GitHub repositories, issues, and pull requests
CommunitySlack
Read and send messages, manage channels in Slack workspaces
CommunityPostgreSQL
Query and manage PostgreSQL databases
CommunityPuppeteer
Browser automation for web scraping and testing
CommunityBrave Search
Web search capabilities using Brave Search API
CommunityGoogle Drive
Access and manage files in Google Drive
CommunityGoogle Maps
Location services and mapping capabilities
CommunityAWS
Integration with Amazon Web Services
CommunityAzure
Microsoft Azure cloud services integration
CommunitySQLite
Query and manage SQLite databases
CommunitySentry
Error tracking and monitoring integration
CommunityGitLab
Interact with GitLab repositories and CI/CD
CommunityRedis
In-memory data structure store operations
CommunityEverArt
AI image generation capabilities
CommunityAtlassian
Interact with Jira and Confluence
CommunityNotion
Manage Notion pages and databases
CommunityDiscord
Interact with Discord servers and channels
CommunityDocker
Manage Docker containers and images
CommunityApollo
Connect GraphQL APIs to AI agents
CommunityAuth0
Identity and access management integration
CommunityPlaywright
Browser automation using accessibility tree (Microsoft)
CommunityContext7
Up-to-date code documentation for LLMs
CommunitySupabase
Connect to Supabase projects and manage databases
CommunityFigma
Generate code from Figma designs and components
CommunitySerena
Coding agent toolkit with semantic code analysis
CommunityFrequently Asked Questions
What is Claude MCP?
Claude MCP (Model Context Protocol) is an open standard that enables AI assistants like Claude to securely connect with external data sources and tools. It provides a universal way for AI assistants to access context from various services and applications.
How do I install an MCP server?
To install an MCP server, you'll need to add its configuration to your Claude Desktop config file. Each server page provides detailed installation instructions including the required npm packages and configuration settings. Simply copy the provided configuration into your Claude Desktop settings.
What's the difference between Official and Community servers?
Official servers are maintained by Anthropic and the MCP core team, ensuring high quality and regular updates. Community servers are created and maintained by third-party developers and offer additional integrations and features beyond the official servers.
Are MCP servers secure?
MCP servers run locally on your machine and you control what data they can access. Official servers are thoroughly vetted by Anthropic. For community servers, review the source code and permissions before installation. Always use API keys and credentials securely.
Can I use multiple MCP servers at the same time?
Yes! You can install and use multiple MCP servers simultaneously. Simply add each server's configuration to your Claude Desktop config file, and Claude will have access to all of them during your conversations.
Do I need coding knowledge to use MCP servers?
Basic familiarity with configuration files and command-line operations is helpful, but not strictly required. Each server page provides copy-paste configurations and step-by-step instructions. For most servers, you'll need to install Node.js and edit a JSON configuration file.
Which MCP servers should I start with?
Popular starting points include the Filesystem server for local file access, the Fetch server for web content, and the GitHub server if you work with code repositories. Choose servers based on your specific workflow and needs.
Can I create my own MCP server?
Yes! MCP is an open standard and you can create custom servers to integrate any data source or tool. Check the official MCP documentation and server examples on GitHub to get started with building your own server.