AI-Assisted CRM MCP Server

Example Use Cases

• 1

  Perform CRM operations like creating contacts and managing leads using natural language.

• 2

  Call backend APIs through MCP tools for structured and secure interactions.

• 3

  Leverage cached responses to reduce latency and token usage.

Description

This project integrates the Model Context Protocol (MCP) with a FastAPI-based CRM backend, allowing AI agents to interact with CRM APIs as structured tools. It supports managing contacts, leads, deals, tasks, and users through natural language commands processed by an AI chatbot. The system benefits include reduced latency via Redis caching, secure JWT authentication, and a scalable architecture for AI-powered CRM workflows.