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MCP Servers (Model Context Protocol)

MCP Servers are a standardized way to connect AI assistants to external systems and data sources. They act as universal adapters that expose data (like files or database rows) and tools (like "create calendar event") to an AI client in a format the AI can easily understand and use securely. Examples File System Access: A server that lets an AI safely read and write files in a specific local directory. Database Connectors: Servers that allow an AI to query a SQL database to answer questions like "How many users signed up today?" API Gateways: A server wrapping a service like Slack or GitHub, letting the AI send messages or open pull requests via a standard protocol. Read-Only Resources: Servers that simply provide context, such as feeding live stock market logs or server status reports to the AI.

5 tools

Memory for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

Claude desktop app with MCP support

MCP server for file system access

MCP server for PostgreSQL access

MCP server for GitHub integration