FOCAL MCP Server (Framework for Orchestrated Central AI ruLes)
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# 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 ```bash 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: ```bash git tag v0…
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