Zero-dependency MCP server and CLI for token-efficient inspection of local CSV/JSON/JSONL files, providing schema, samples, and paginated filtered queries to AI agents.
A secure, Dockerized MCP server enabling AI assistants to perform file and directory CRUD operations like read, write, edit, search, and manage local files via natural language.
Agent-optimized MCP server that replaces built-in file, search, exec, and git tools with compact, structured JSON equivalents. Benchmarked 20–45% token savings for AI coding agents.
MCP server that enables AI to read, search, and edit local files securely without external data exposure, using local LLMs via Ollama and integrating with Open WebUI or Claude Desktop.
MCP server enabling AI assistants to explore schema.org types, generate JSON-LD examples, validate structured data, and navigate the complete ontology with fuzzy matching and caching.