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Model Context Protocol (MCP) Server

by RonTrace

This server provides global rules for AI agents by fetching them from a centralized GitHub repository. It allows AI agents to access and integrate a consistent set of rules for enhanced decision-making and behavior.

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What is Model Context Protocol (MCP) Server?

The MCP Server is a centralized service that provides AI agents with a consistent set of global rules fetched from a specified GitHub repository. These rules can govern agent behavior, decision-making processes, and interactions within a larger system.

How to use Model Context Protocol (MCP) Server?

To use the server, AI agents must make an HTTP GET request to the /api/rules endpoint. The server retrieves the rules from the specified GitHub repository and returns them in a JSON format. The agent then parses this JSON and integrates the rules into its operational logic.

Key features of Model Context Protocol (MCP) Server

  • Centralized rule management

  • Dynamic rule updates from GitHub

  • Easy integration via HTTP API

  • JSON format for rule delivery

Use cases of Model Context Protocol (MCP) Server

  • Ensuring consistent behavior across multiple AI agents

  • Implementing global constraints or guidelines for AI systems

  • Dynamically updating agent behavior based on external factors

  • Providing context and knowledge to AI agents for improved decision-making

FAQ from Model Context Protocol (MCP) Server

Where does the server fetch the global rules from?

The server fetches the global rules from a specified GitHub repository, currently https://github.com/RonTrace/ron-ai-global-rules/

How often are the global rules updated?

The server fetches the latest rules each time the /api/rules endpoint is accessed, reflecting the most recent changes in the GitHub repository.

What format are the global rules returned in?

The global rules are returned in JSON format, making it easy for AI agents to parse and use the data.

Can I use this server with any AI agent?

Yes, as long as the AI agent can make HTTP requests and parse JSON data, it can integrate with this server.

Is the server publicly accessible?

Yes, the server is deployed and accessible at https://ai-code-agent-rules-production.up.railway.app/api/rules