About AI Agent App
AI Agent App is a sample repository spanning Gemini apps, agents, MCP, RAG, Flutter, Vertex AI, and n8n integration. It is intended as a collection of examples rather than a single application.
Key features
- 01Sample Gemini app and agent
- 02MCP client and OpenWeatherMap, BMI server examples
- 03CLI agent example
- 04RAG examples with FAISS and ChromaDB
- 05Flutter and Vertex AI example
- 06Agent app integration with n8n
Use cases
- 01Explore a Gemini agent app using MCP
- 02Review RAG examples with FAISS or ChromaDB
- 03Study a Flutter app example with Vertex AI
- 04See an agent app integrated with n8n
MCP support
The repository includes a sample Gemini agent with an MCP client and an MCP server for OpenWeatherMap and BMI Calculator. It also lists an example of Google’s ADK as an MCP client.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAI Agent App
A sample Gemini app
A sample AI Agent Gemini with MCP Server SSE
A sample Kama Sutra RAG
- Kama Sutra RAG + FAISS
- Kama Sutra RAG + ChromaDB
- Kama Sutra RAG + ChromaDB + FastAPI
- Kama Sutra RAG App
A sample Flutter App and Vertex AI
A sample Agent app
Resources
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.