"Using SearxNG for Deep Research" matching MCP servers:

A TypeScript-based MCP server for SearXNG that allows users to create and summarize text notes using simple URIs and metadata, facilitating natural language interaction with stored content.

A Model Context Protocol (MCP) server enabling Claude to read, write, search, and analyse your Obsidian vault with advanced research capabilities.

A custom MCP server that enables AI assistants to perform comprehensive research tasks, including searching ArXiv, summarizing papers via Groq, managing local research notes, and pushing findings to GitHub.

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

An MCP server for managing Obsidian-style note vaults, providing tools for full-text search, note creation, and backlink tracking. It enables users to navigate, structure, and update their personal knowledge base through natural language.

Enables coding agents to connect to a user's DevVault, allowing them to search, retrieve, save, and append research/context containers directly from the agent.

This MCP server provides tools to search arXiv, score papers for relevance and citation impact, and find foundational references, enabling research assistants to compile reading lists.

Provides comprehensive access to Roam Research's API functionality. This server enables AI assistants like Claude to interact with your Roam Research graph through a standardized interface.

Exposes Google Keep notes as tools so MCP clients like Claude Code or Claude Desktop can read and manage them, connecting through the unofficial gkeepapi client since Keep has no official public API.

Enables Claude or Cursor to read Google Keep notes and checklists, add items, and check or uncheck them via MCP over HTTP with OAuth.

Provides semantic search and knowledge graph capabilities for Obsidian vaults using Smart Connections embeddings.

Enables AI assistants to save encrypted notes to a mindpad account using natural language, with support for tags and end-to-end privacy.

Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.

Enables interaction with Google's NotebookLM via the Model Context Protocol to manage notebooks, sources, and research tasks. Users can create, query, and summarize content, as well as generate artifacts like audio overviews and slide decks using natural language.

Enables AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.

Enables AI assistants to interact with Roam Research graphs through comprehensive API access, supporting page/block operations, markdown import, search, memory storage, and complex batch actions for managing knowledge graphs.

MCP server for local knowledge management with Markdown and PDF indexing using SQLite FTS5.

Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.

Enables an agent to capture cited sources with extracted bibliographic metadata, keep linked research notes, and search them all. It turns those into BibTeX, annotated Markdown bibliographies, or themed literature-review outlines, stored as plain files inside the project.

An MCP server that enables Claude to research across NotebookLM notebooks as closed corpora, preserving evidence provenance and providing tools for evidence retrieval, comparison, and verification.