This repository provides tools for using the Model Context Protocol (MCP), a standardized way for AI agents to discover and utilize various capabilities like web search, file system access, and database interactions.
This repository introduces Model Context Protocol (MCP), a standardized interface for AI agents to discover and utilize various tools, similar to a USB for AI. MCP enables agents to seamlessly integrate new capabilities without needing implementation specifics.
The MCP ecosystem offers diverse servers, including Brave Search for web and local searches, Filesystem for file operations, Playwright for web scraping, MongoDB and SQLite for database interactions, and more. The MCP Servers Repository lists available servers.
To get started, install the mcp
package, configure mcp_config.json
with server settings (API keys, file paths), and launch AutoGen Studio. MCP uses a dictionary-based approach for dynamic tool usage, allowing agents to list servers, discover tools, and execute them with arguments. Example templates in /gallerys
and /teams
provide pre-configured setups and workflows.
The client searches for configuration files in the current directory, user config, and environment variables. Development includes running pytest
for testing. MCP requires Python 3.12+, Node.js, npx, the MCP Python SDK, and AutoGen Studio.
madtank/autogenstudio-skills
January 30, 2024
March 24, 2025
Python