Athena
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AthenaAdvise on handling errors gracefully in the checkout flow."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Athena
A project-aware, capability-driven advisory framework for AI coding assistants.
Athena is an AI Consultation Runtime. Cursor Composer owns execution; Athena owns consultation.
Features
Single MCP tool:
consult(advisor_type, question, session_context, mode)Capability-driven routing across Anthropic, OpenAI, and Ollama providers
Project memory with SQLite storage and git-based incremental indexing
Structured advisory responses for Composer to apply
Related MCP server: Spec-driven Development MCP Server
Quickstart
pip install -e ".[dev,providers]"
export ANTHROPIC_API_KEY=your-key
python -m athena.mcp_server.serverAdd the plugin MCP config from plugin/.mcp.json to your project's .cursor/mcp.json.
Documentation
Engineering specifications live in docs/specs/README.md.
Development
pip install -e ".[dev,providers]"
python3 -m pytest -q
python3 -m ruff check athena tests benchmarks
python3 benchmarks/run_baseline.pySee docs/extension-guide.md for adding providers, advisor profiles, capabilities, and strategy modes.
License
MIT — see LICENSE.
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