Local Agentic AI Framework using Model Context Protocol (MCP), LangGraph, and Ollama
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Updated
Mar 15, 2026 - Python
Local Agentic AI Framework using Model Context Protocol (MCP), LangGraph, and Ollama
One FastMCP server, one port — expose each tool group at its own native MCP URL, so every agent sees only the tools it needs. No proxy, no gateway.
A Local Agentic School Management System using Model Context Protocol (MCP), LangGraph, and Ollama. Feature-rich PoC with SQLite data, PDF reporting, and an AI-driven Streamlit interface.
MCP Server for Wireshark/TShark packet analysis and live capture
A beginner project demonstrating how to build a watsonx Orchestrate agent backed by an MCP server using the ADK. Covers the M+N integration pattern — agents connect to one MCP toolkit, the toolkit routes to tools, tools call the API. No direct agent-to-tool wiring.
Manage school data locally with MCP, LangGraph, and Ollama for natural language queries, PDF reports, and privacy-first admin control
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