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Agentic MCP Chatbot

An agentic chatbot built with FastMCP, LangGraph, and LangChain. The agent autonomously decides which tools to use based on user queries — no hardcoded routing.

Tech Stack

  • Python 3.11+ with UV package manager

  • FastMCP — MCP server with 6 external tools

  • LangGraph + LangChain — Agentic workflow with tool calling

  • Groq — LLM provider

  • Streamlit — Chat UI

  • SQLite — Persistent conversation memory

Related MCP server: Weather Bot MCP Server

Setup

  1. Install UV:

    curl -LsSf https://astral.sh/uv/install.sh | sh
  2. Install dependencies:

    uv sync
  3. Configure environment:

    cp .env.example .env
    # Edit .env with your API keys
  4. Start the chatbot UI:

    uv run streamlit run src/frontend/app.py

Available Tools

Tool

API

Description

Weather

Open-Meteo

Current weather for any location

Wikipedia

Wikipedia

Search and summarize articles

ArXiv

ArXiv

Search academic papers

DuckDuckGo

DuckDuckGo

General web search

Location

OpenStreetMap

Geocoding and location search

Currency

ExchangeRate/ECB

Currency conversion rates

Project Status

🚧 Backend and Streamlit UI are implemented — see docs/PROGRESS.md for current status.

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