Learning Adapter

关于

This intelligent adapter acts as a proxy between MCP clients, such as Claude Desktop, and your MCP servers, drastically reducing API token consumption. By automatically learning the response patterns of MCP server APIs, it intelligently filters out noisy or redundant data, retaining only essential information. This process leads to an impressive 80% reduction in input tokens, resulting in lower operational costs and faster response times, while serving as a seamless drop-in replacement for existing Node.js-based MCP servers.

主要功能

• Self-learning API response patterns using AI (GPT 5.1)
• Community-driven sharing of learned schemas via `registry.json`
• Drop-in compatibility with existing Node.js-based MCP servers
• Up to 80% reduction in API input tokens
• Intelligent filtering of noise, pinning essential fields, and ghosting redundant data
• 17 GitHub stars

使用案例

• Optimizing token costs for AI models interacting with MCP servers
• Filtering large API responses from MCP servers for efficiency
• Streamlining interactions between AI clients (e.g., Claude Desktop) and various MCP environments