An authenticated MCP gateway that ingests documents and orchestrates hundreds of tools via progressive discovery, keeping context cost constant. It provides per-user RAG over ingested documents and a 116-tool registry that the model navigates through search, describe, and invoke tools.
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.
Token-optimized MCP server that reduces context window usage by 59.5% by grouping 12 tools into 5 semantic operations, preserving all original functionality for AI assistants.
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.
Unified MCP server exposing 12 DevOps tools across GitHub, PostgreSQL, Slack, and Google Calendar for AI agents, with rate limiting, input validation, and per-service scoped tokens.