A context-efficient proxy that replaces individual tool schemas with three meta-tools for semantic search, schema retrieval, and tool routing. It enables agents to manage hundreds of backend tools while maintaining a constant context footprint of approximately 500 tokens.
Token-efficient GitLab MCP server that delivers 167 tools through 3 meta-tools with progressive disclosure, field projection, server-side file trimming, and keyset pagination for agent context budgets.
A drop-in MCP proxy that aggregates multiple backend servers into two meta-tools for efficient tool discovery and execution. It enables AI clients to access hundreds of tools while minimizing context window usage through searchable indexing.
A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
Enables agents to use many MCP servers without context bloat by exposing meta-tools (search, load, call, run_code) that reduce token usage via progressive disclosure and result trimming.
