focal-mcp-server 0.1.1

FOCAL MCP Server (Framework for Orchestrated Central AI ruLes)

FOCAL MCP Server

FOCAL MCP (Framework for Orchestrated Central AI ruLes) is a local MCP server that centralizes AI behavior rules and injects them across tools like Codex, Claude Code, and Cursor.

What This Server Does

• Stores rules in a user home workspace: ~/.focal_mcp/workspace
• Serves a web UI to edit rules as files
• Exposes MCP prompts/resources + list_changed notifications
• Provides a focal_rules tool so agents can fetch the latest rules before every response

Project Layout (Refactored)

FOCAL-MCP/
  README.md
  SPEC.md
  agents.md
  pyproject.toml
  src/
    focal_mcp_server/
      app.py
      mcp.py
      notifications.py
      web.py
      workspace.py
      logging_utils.py

Quick Start

uvx --from . focal-mcp-server

Web UI:

http://127.0.0.1:8765

MCP endpoint:

http://127.0.0.1:8765/mcp

WebSocket notifications:

ws://127.0.0.1:8765/mcp/ws

Workspace

Rules are stored outside the repo:

~/.focal_mcp/workspace/
  core/
    system.md
    style.md
    safety.md
    tool_policy.md
  agents/

MCP Behavior

• initialize returns instructions that include a runtime directive to call focal_rules before every response.
• tools/list exposes focal_rules which returns the latest rules from disk.
• Rule changes trigger:
  • notifications/prompts/list_changed
  • notifications/resources/list_changed

Project Prompt (Codex)

The repository-level prompt for Codex lives in:

agents.md

Development Notes

• This project uses a src/ layout for the Python package.
• Use SPEC.md as the single source of truth for behavior, interfaces, and constraints.

Roadmap (Next)

• Manage rules per project when working across multiple repos
• UI/UX improvements for rule editing and visibility

Publish to PyPI (Option A)

1. Create a PyPI token with scope for this project.
2. Add the token to GitHub repository secrets as PYPI_API_TOKEN.
3. Tag and push a release:

git tag v0.1.0
git push origin v0.1.0

GitHub Actions will build and publish automatically.

Once published, users can run:

uvx --from focal-mcp-server focal-mcp-server

Install & Run with uvx

After the package is published to PyPI, anyone can run it without cloning the repo:

uvx --from focal-mcp-server focal-mcp-server

This will download the latest release and start the server.