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expense tracker MCP Server
AI-Powered Expense Tracker using MCP (Model Context Protocol) | FastMCP + Claude Desktop + Cloud Deployment
In this project, I built a complete MCP-based Expense Tracker designed for AI agents and LLM workflows using FastMCP.
This video demonstrates:
✅ Local MCP Server Implementation
✅ Claude Desktop Integration
✅ Async MCP Tool Architecture
✅ SQLite + aiosqlite Backend
✅ FastMCP Cloud Deployment
✅ HTTP Transport Setup
✅ Real AI-Agent Compatible Backend Design
🧠 What is MCP?
Model Context Protocol (MCP) allows AI agents like Claude to directly interact with backend tools and resources in a structured way.
⚙️ Tech Stack:
• Python
• FastMCP
• SQLite
• aiosqlite
• Async Programming
• Claude Desktop
• MCP Architecture
🔗 Live MCP Endpoint:
[https://expense-tracker-mcp-2405.fastmcp.app/mcp](https://expense-tracker-mcp-2405.fastmcp.app/mcp)
📂 GitHub Repository:
[Expense Tracker Githu repo](https://github.com/vidyasagar2405/expense-tracker-mcp/tree/main)
🎯 Key Learnings from this Project:
* MCP tool development
* AI-agent integration
* Async backend systems
* Cloud deployment workflows
* Production-ready MCP architecture
If you're learning:
AI Engineering, MCP, LLM Tools, FastMCP, or Agentic AI Systems — this project will help you understand real implementation workflows.
👍 Like, Share & Subscribe for more AI Engineering and MCP projects.
#MCP #FastMCP #ClaudeAI #Python #AIAgents #LLM #GenAI #MachineLearning #BackendDevelopment #AsyncPython #OpenAI #AIProjects #SoftwareEngineering
Видео expense tracker MCP Server канала Vidyasagar
In this project, I built a complete MCP-based Expense Tracker designed for AI agents and LLM workflows using FastMCP.
This video demonstrates:
✅ Local MCP Server Implementation
✅ Claude Desktop Integration
✅ Async MCP Tool Architecture
✅ SQLite + aiosqlite Backend
✅ FastMCP Cloud Deployment
✅ HTTP Transport Setup
✅ Real AI-Agent Compatible Backend Design
🧠 What is MCP?
Model Context Protocol (MCP) allows AI agents like Claude to directly interact with backend tools and resources in a structured way.
⚙️ Tech Stack:
• Python
• FastMCP
• SQLite
• aiosqlite
• Async Programming
• Claude Desktop
• MCP Architecture
🔗 Live MCP Endpoint:
[https://expense-tracker-mcp-2405.fastmcp.app/mcp](https://expense-tracker-mcp-2405.fastmcp.app/mcp)
📂 GitHub Repository:
[Expense Tracker Githu repo](https://github.com/vidyasagar2405/expense-tracker-mcp/tree/main)
🎯 Key Learnings from this Project:
* MCP tool development
* AI-agent integration
* Async backend systems
* Cloud deployment workflows
* Production-ready MCP architecture
If you're learning:
AI Engineering, MCP, LLM Tools, FastMCP, or Agentic AI Systems — this project will help you understand real implementation workflows.
👍 Like, Share & Subscribe for more AI Engineering and MCP projects.
#MCP #FastMCP #ClaudeAI #Python #AIAgents #LLM #GenAI #MachineLearning #BackendDevelopment #AsyncPython #OpenAI #AIProjects #SoftwareEngineering
Видео expense tracker MCP Server канала Vidyasagar
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16 мая 2026 г. 12:04:53
00:03:36
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