Experiments over agentic approaches with LLM. This is an educative project which selectively tries to avoid more structured frameworks.
It uses MCP as repositories for tools, prompts and resources.
In ./config there is a sample YAML to configure agents and tasks to perform to develop a TODO list web application.
- Install dependencies with a package manger e.g.
npm i - Build the base image for the MCP proxy
docker build ./mcp/mcp-proxy-base -f ./mcp/mcp-proxy-base/Dockerfile -t mcp-proxy/base- Create a
.envin the root folder and set the those api keys
# openai api key
OPENAI_API_KEY=...
# serper.dev api key
SERPER_API_KEY=...
- Add or edit tasks definition in
./config
Start the MCP servers to be used by the agents.
docker compose -f docker-compose.mcp.yaml up -d
Start the main runtime with docker compose up
Copyright 2025 Luca Capra
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
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