"MCP integration with LangChain documentation" matching MCP servers:

Enables querying Google NotebookLM notebooks directly from Claude Desktop (MCP) and Claude Code (CLI), providing citation-backed answers from Gemini.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables Claude to manage a personal todo list in Notion, with capabilities to add, view, and complete tasks.

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

Enables AI assistants to save and manage question-and-answer pairs within a structured Notion database. It provides tools for database setup, entry creation, and querying existing conversation history.

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

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.

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

Enables interaction with blockchain chains through a note storage system that allows adding, accessing, and summarizing notes via custom URI schemes.

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.

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.

Enables interaction with Cubox through its CLI, allowing agents to manage bookmarks, highlights, and annotations via a single pass-through tool.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.