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Mcp Ayd Server

MCP Server

MCP Server: Mcp Ayd Server

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Updated Dec 16, 2024

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The MCP Ayd Server is a lightweight bridge that exposes the state and capabilities of Ayd to any Model Context Protocol (MCP)–compatible AI assistant. Ayd is a minimalist, local web server that serves static files and can be configured to act as a simple API gateway. By running the MCP server alongside Ayd, developers can query the assistant for real‑time status updates, configuration details, and even trigger Ayd actions directly from conversational prompts. This eliminates the need to manually inspect logs or run separate CLI commands, streamlining debugging and monitoring workflows.

For developers building AI‑powered tooling, the server turns Ayd into an interactive data source. The MCP protocol allows assistants to discover and invoke tools, access prompts, and sample responses. With the Ayd server, an assistant can ask questions such as “What is the current uptime of my local API?” or “List all active routes in Ayd.” The server translates these queries into HTTP requests against the running Ayd instance and returns structured JSON responses that the assistant can parse and present. This tight integration means developers no longer need to write custom adapters for each new local service; the MCP server provides a generic, reusable interface.

Key capabilities include:

  • Status reporting: Retrieve metrics like uptime, request counts, and error rates from Ayd’s internal statistics endpoints.
  • Configuration inspection: Expose the current routing table, middleware stack, and environment variables to aid in troubleshooting.
  • Action triggering: Invoke Ayd’s control endpoints (e.g., reload configuration, restart) through conversational commands.
  • Secure communication: The server can be configured to use TLS, ensuring that sensitive status data remains protected even when accessed over the network.

Typical use cases involve:

  • Developer support: During pair‑programming sessions, a developer can ask the assistant to check whether a particular route is healthy or if Ayd needs reloading, receiving instant feedback without leaving the IDE.
  • Continuous integration pipelines: CI agents can query Ayd’s status after deployment, allowing the assistant to automatically generate incident reports if metrics fall outside expected ranges.
  • Educational demos: In teaching environments, students can interact with a live Ayd instance through an AI tutor that explains routing concepts while showing real‑time data.

Because the MCP Ayd Server follows the standard MCP specification, it plugs seamlessly into any assistant that supports the protocol—Claude Desktop, Claude API, or other MCP‑enabled platforms. Its lightweight design means it adds negligible overhead to the local development environment, while its extensible command‑line interface allows advanced users to customize which Ayd endpoints are exposed. In short, the MCP Ayd Server transforms a simple local web server into an AI‑friendly data source, giving developers instant, conversational access to the inner workings of their services.