What dependencies does What? require?
Python, UV, a virtual environment, and packages defined in `pyproject.toml`. It also requires an Alpha Vantage API key and PostgreSQL credentials.
@bkakadiya
Basic information
Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentic-ai-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
What? is a sample application demonstrating Agentic AI using an MCP server that connects to a REST API, PostgreSQL database, and document storage. It is intended for developers learning to build AI agents that interact with multiple data sources via the MCP protocol.
Install UV and dependencies from pyproject.toml, activate a virtual environment, and populate sample financial transaction data with python util/populate_data.py. Configure the MCP client (Claude for Windows) by placing a modified claude_desktop_config.json in the Claude app data folder, then restart Claude Desktop.
Python, UV, a virtual environment, and packages defined in `pyproject.toml`. It also requires an Alpha Vantage API key and PostgreSQL credentials.
Run `python util/populate_data.py` after installing dependencies.
Copy the sample config file from `config/sample_claude_desktop_config.json` to the Claude app data folder, rename it, and update the API key and database connection details.
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
ArduPilotドローンをAIエージェントから操作するMCPサーバーです。
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
A comprehensive Model Context Protocol (MCP) server providing AI assistants with powerful task management and agent memories capabilities with project-specific storage.
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
Comments