Manages contacts, leads, deals, and tasks within a CRM application through a natural language AI chatbot interface.
Sponsored
This experimental AI-powered CRM application integrates FastAPI with the Model Context Protocol (MCP) to enable users to interact with CRM functionalities using natural language commands. It features an AI chatbot that leverages an MCP server to expose backend APIs as tools, allowing AI agents to perform actions like creating contacts, retrieving lead details, and managing tasks. The system is designed to explore the practical application of AI agents interacting with real-world APIs for enhanced productivity and workflow management, showcasing tool-based LLM workflows and scalable backend architecture.
Key Features
012 GitHub stars
02AI Chatbot with MCP Tools for natural language CRM interaction
03MCP Server Integration exposing FastAPI backend APIs as AI agent tools
04Redis Memory Cache for efficient LLM response caching and reduced token usage
05Comprehensive CRM Backend for managing Contacts, Leads, Deals, Tasks, and Users
06Secure JWT Authentication with user login and role-based permissions
Use Cases
01Manage CRM operations (contacts, leads, deals, tasks) using natural language via an AI chatbot.
02Develop and experiment with AI agents that interact with backend APIs through the Model Context Protocol.
03Build real-world AI applications demonstrating tool-based LLM workflows and scalable system architectures.
