"Executing CLI commands" matching MCP servers:

Local-first CLI + MCP server for meeting recordings - Whisper transcription,

A privacy-first, zero-cost AI assistant that lets you chat with your documents locally via CLI or web app, supporting search, summarization, and Q&A using your own model.

Enables managing documents on the filesystem through natural language, with tools for read, create, edit, delete, and commands for summarize, format, rewrite, and convert.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Enables Google Antigravity CLI to offload token-heavy workloads to local Ollama models through MCP tools for code drafting, summarization, chunked map-reduce, and JSON extraction, reducing cloud token usage.

Enables Claude Desktop to generate text and analyze images using Google's Gemini Pro API. Provides seamless integration between Claude and Gemini's AI capabilities through natural language commands.

A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.

A deterministic MCP server that wraps Claude Code with verified, retryable commands. It provides tools for text processing like extraction, redaction, and normalization, with mandatory verifiers and fallback to raw Claude.

A Model Context Protocol server that wraps the Gemini CLI, enabling AI assistants to send prompts, research topics, analyze code, and summarize content using Gemini.

Transcribes audio/video files, generates summaries and structured knowledge items, and supports Notion integration and chat-based interaction. Works as a standalone CLI, Notion integration, or MCP server tool for agent ecosystems.

Enables AI agents and developers to dynamically tokenize session context windows and compact dialogue history into structured outputs via MCP, CLI, or Python client. Runs on pure standard library Python with no external dependencies for deterministic, low-latency execution.

Enables on-demand, verbatim Jev-guided transcript compaction by deciding which tool calls and results can be removed or truncated while preserving retained content exactly.

Connects AI agents such as Claude Desktop and Cursor to your personal video and podcast briefing archive over stdio. Enables agents to fetch daily synthesized briefings, read full video distillations, semantically search claims and arguments across creators, retrieve cleaned sponsor-free transcripts, and subscribe new channels to the briefing pipeline.

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.

An MCP server for managing notes, with resources, prompts, and a tool to add notes.

MCP server and CLI for Fireflies.ai API to retrieve transcripts, search meetings, and generate summaries.

An MCP server that provides document management capabilities including reading, editing, and summarizing documents through a CLI chat interface powered by Claude AI.