TokenScope

A Model Context Protocol server that provides token-aware directory exploration and file analysis for Large Language Models, enabling intelligent codebase navigation with features like directory scanning, file content extraction, and token usage statistics.

Model Context Protocol server enabling Large Language Models to explore, search, and retrieve detailed OpenAPI schema information—including endpoints, parameters, request/response schemas, components, and security schemes—for enhanced API understanding and interaction.

Packs entire codebases into AI-optimized, token-counted, and secure single files compatible with Large Language Models, featuring customizable inclusion, compression, and Git-aware processing for seamless Model Context Protocol integration.

Implements an efficient Model Context Protocol solution enabling large language models to generate minimalistic, accurate intermediate reasoning steps with reduced token usage, faster response times, adaptive complexity control, performance analytics, and seamless OpenAI API integration for diverse reasoning tasks.

Provides read-only Model Context Protocol access to MongoDB databases, enabling large language models to inspect collection schemas, execute aggregation pipelines with safety limits, and retrieve detailed query execution plans.