FJA-MCP

A reference implementation of the Flourishing-Justice-Autonomy (FJA) alignment framework, exposed as an MCP server.

What is FJA?

FJA is a normative AI-alignment framework that extends the HHH (Harmless-Helpful-Honest) triad to:

• Flourishing: Support human well-being, pluralistic cultural perspectives, and access to knowledge.

• Justice: Ensure fairness, non-discrimination, and equitable treatment.

• Autonomy: Respect user choice, consent, and self-determination.

Related MCP server: arifosmcp

Install

pip install -e .

Run the MCP server

fja-mcp-server

or with the official MCP CLI:

mcp run server.py -t stdio
mcp dev server.py          # opens MCP Inspector

Run examples

python examples/cultural_diet.py
python examples/medical_autonomy.py
python examples/hiring_fairness.py

LLM fine-tuning + FJA evaluation demo

This example loads distilgpt2 (81M parameters), evaluates its FJA metrics, fine-tunes it on a tiny FJA-aligned dataset, and re-evaluates.

pip install torch transformers datasets accelerate
python examples/llm_fja_demo.py

Use the MCP client

fja-mcp-client

or

python -m fja_mcp.mcp_client

Run tests

pytest

License

MIT