Reduces AI token consumption by optimizing MCP tool definitions and responses, with a probe for measurement and a gate for filtered tool exposure and cost reduction.
Token-efficient MCP reimplementation with progressive tool discovery, result handling, and compact wire encoding, reducing token usage by up to 89% on tool definitions.
Optimizes MCP tool menus from OpenAPI specs by grouping operations by tag and trimming schemas to reduce token usage, improving agent tool-selection accuracy.
MCP proxy that filters oversized tool responses, downscaling screenshots and pruning accessibility snapshots to reduce token usage in LLM interactions.