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

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Medium articles

Read more about AI Agents Interoperability here: Medium.com

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.

   git clone https://github.com/manojjahgirdar/ai-agents-interoperability.git
   

   Note: UV Package manager is recommended.

2. Install the uv package manager.

   pip install pipx
   pipx install uv
   

3. Once the uv package manager is installed, create a virtual environment and activate it.

   uv venv
   source .venv/bin/activate
   

4. Install the python dependencies.

   uv sync
   

5. Export env variables

   cp env.example .env
   

   Fill the env values

6. Launch the mcp/acp servers.

   1. To launch the mcp server run:

      cd src/mcp/mcp-server
      uv run mcp_server.py
      

   2. To launch the acp server, in another terminal run:

      cd src/acp/acp-server
      export REMOTE_MCP_URL=http://127.0.0.1:8000/sse
      uv run acp_server.py
      

7. To run the notebooks, goto src/notebooks directory and run the following command:

   jupyter notebook