"Using Command Line with MCP (Master Control Program)" matching MCP servers:

An MCP server that treats Obsidian vaults as knowledge graphs, enabling AI agents to traverse wikilinks, assemble token-budgeted context, and search with backlink awareness.

Provides semantic search, note retrieval, source explanation, daily digests, and health checks for a local Obsidian vault, enabling MCP clients like Claude Desktop and Claude Code to query the second brain via natural language.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.

Enables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.

A Model Context Protocol server that implements a simple notes system, allowing users to create, list, and summarize text notes.

MCP server for zk note management enabling note search, creation, and link analysis via the zk command-line tool.

Connects Claude Desktop to your Obsidian vault, enabling reading, writing, searching, and organizing notes locally.

Enables AI agents to read and edit Google Keep notes, lists, labels, collaborators, and media across multiple Google accounts using 24 tools.

Integrates nb command-line note-taking with Claude Code, enabling adding, listing, searching, and showing notes organized by project directory.

Enables Gemini CLI and other AI assistants to manage todos (create, read, update, delete, filter) through natural language commands via the Model Context Protocol.

Enables AI clients to read Markdown notes from a single explicitly granted local folder, read-only, with strict containment against access outside that folder.

Model Context Protocol (MCP) server for Joplin note-taking app, enabling AI to read, search, and modify notes via sandboxed scripts.

Provides an in-memory notebook interface with tools to create, retrieve, list, update, and delete notes, designed to test agent behavior through realistic MCP tool interactions.

Enables reading, writing, and manipulation of Bike outlines on macOS through natural language, using AppleScript for local document management.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Provides read-only access to an Obsidian vault, enabling file listing, content reading, and text search across notes via MCP.

Create and read burn-after-read encrypted notes. AES-256-GCM E2E encryption with self-destructing URLs for secure credential handoff between users and AI agents.

MCP server that exposes OpenWhispr desktop app data—notes, folders, meeting transcripts, dictation history, and custom dictionary—to AI agents, with read and limited write operations.