Detects AI-generated content and transforms robotic text into natural, human-like writing while improving grammar, readability, and preserving key terminology.
Local-first MCP server for safely searching, reading, summarizing, tagging, deduplicating, and organizing local files with scoped access, read-only defaults, and dry-run plans.
Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.
Enables AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.
A text processing workbench and MCP server that provides 22 tools for cleaning, transforming, and extracting data from text. It enables AI assistants to perform complex operations like regex extraction, log normalization, and encoding through a unified interface.
Provides calendar, email, meeting transcription and summarization, and weather tools via MCP, enabling users to manage schedules, handle correspondence, capture meeting insights, and check conditions through natural language.
An offline MCP server that enables research tasks such as summarizing text, extracting key points, and saving/retrieving notes via a CLI client and stdio transport.
Exposes four OpenAI-powered streaming tutoring tools—concept explanations, text summarization, flashcard generation, and quizzes—over MCP, allowing clients and agents to discover and call them dynamically.
Enables natural language management of Gmail through MCP tools for searching, analyzing, summarizing, drafting, and sending emails, with AI reasoning and user confirmation for actions.