What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI models connect to external tools and services in real time. Think of it as USB ports for your AI — plug in any tool and your AI can use it.
How MCP Works
Without MCP, your AI is isolated — it can only work with what's in its context window. With MCP, your AI can reach out to external systems: read your GitHub repos, query your database, search the web, send Slack messages — all within the same conversation.
All of this happens in a single conversation. No switching apps, no copy-pasting.
Popular MCP Servers
Our ecosystem includes 18 MCP servers. Here are the most popular:
GitHub MCP
Dev ToolsRead repos, create PRs, manage issues
Slack MCP
CommunicationSend messages, read channels, manage workspaces
PostgreSQL MCP
DataQuery your database live from Claude sessions
Apify MCP
ScrapingAccess 20,000+ web scrapers as tools
SerpAPI MCP
SearchReal-time search results from 50+ engines
Postman MCP
Dev ToolsManage API collections and run tests
Google Drive MCP
ProductivitySearch, read, manage Google Drive files
Memory MCP
AIPersistent knowledge graph for long-term memory
Brave Search MCP
SearchWeb search from inside Claude sessions
Tavily MCP
SearchAI-optimized web search for LLM agents
Puppeteer MCP
AutomationBrowser automation — navigate, screenshot, interact
Context7 MCP
Dev ToolsUp-to-date documentation search for any library
Setting Up Your First MCP Server
Want the full setup guide? Read our MCP Quickstart Guide.
Get 18 MCP Servers Pre-Configured
Our AI brain system includes MCP configuration guides for every server in our ecosystem. Set up once, use everywhere.