ai-agents-interoperability

# AI Agents Interoperability Series Learn how to architect Agentic AI solutions which are framework agnostic, LLM Agnostic. Refer to the Blog series below to learn more. ## Reference Architecture  ## Medium articles Read more about AI Agents Interoperability here: [Medium.com](https://medium.com/@manojjahgirdar/list/ai-agents-interoperability-607c343d3b1c) ## Pre-requirements 1. I have used Tavily search for the web search tool implementation, create a Tavily API Key here: <https://www.tavily.com> 2. I have used Google SERP APIs for the flight search tool implementation, create a SERP API key here: <https://serpapi.com/manage-api-key> ## Setup codebase 1. Clone the repo. ```bash git clone https://github.com/manojjahgirdar/ai-agents-interoperability.git ``` > Note: UV Package manager is recommended. 1. Install the uv package manager. ```bash pip install pipx pipx install uv ``` 1. Once the uv package manager is installed, create a virtual environment and activate it. ```bash uv venv source .venv/bin/activate ``` 1. Install the python dependencies. ```bash uv sync ``` 1. Export env variables ```bash cp env.example .env ``` >Fill the env values 1. Launch the mcp/acp servers. 1. To launch the mcp server run: ```bash cd src/mcp/mcp-server uv run mcp_server.py ``` 1. To launch the acp server, in another terminal run: ```bash cd src/acp/acp-server export REMOTE_MCP_URL=http://127.0.0.1:8000/sse uv run acp_server.py ``` 1. To run the notebooks, goto `src/notebooks` directory and run the following command: ```bash jupyter notebook ```