focal-mcp

focal-mcp

Centralizes AI behavior rules and applies them across tools like Codex, Claude Code, and Cursor, enabling agents to fetch up-to-date rules before responding.

Category
Visit Server

README

FOCAL MCP Server

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

Quick Start

Prerequisites

  • uv installed (required for uvx)

Run the server (recommended)

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

Open the 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

Configure Your MCP Client

FOCAL MCP uses streamable HTTP, so you start the server yourself and point clients to the URL above.

Codex (example)

Add the following to ~/.codex/config.toml:

[mcp_servers.focal]
enabled = true
url = "http://127.0.0.1:8765/mcp"

Restart Codex after saving.

Edit Rules (Live)

Rules live outside the repo in:

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

Use the Web UI to edit files. Updates are applied immediately.

How Rules Are Applied

FOCAL MCP exposes a tool named focal_rules. Agents should call it before every response to fetch the latest rules.

If rules do not update immediately:

  1. Ensure the client is connected to the MCP server.
  2. Ensure the client calls focal_rules before responding.
  3. Reconnect the client if needed.

Project Prompt (Codex)

The repository-level prompt is stored in:

agents.md

Roadmap

  • Project-specific rule management for multi-repo workflows
  • UI/UX improvements for rule editing and visibility

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured