Context Optimizer MCP

Example Use Cases

• 1

  Reduce context window token usage when connecting multiple MCP servers.

• 2

  Optimize server selection based on task relevance to improve performance and reduce costs.

• 3

  That require recommendations on minimal server sets to maintain maximum efficiency.

Description

This MCP server analyzes tasks to score and recommend the minimal set of MCP servers needed, significantly reducing token usage in the context window. It helps prevent context overload by optimizing server combinations, saving 60-80% of tokens typically wasted on unused tool definitions. The server includes tools to analyze tasks, estimate token usage, and suggest efficient server sets for improved agent performance and cost savings.