"SearXNG, a privacy-respecting metasearch engine" 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.

Enables AI agents and developers to inspect Obsidian vault knowledge graphs, navigate backlinks, detect broken wikilinks, lint note compliance, search indexed notes, and scaffold standards-compliant Markdown notes via MCP.

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

Surfaces forgotten notes from markdown vaults using wikilink graph structure and file mtime to identify dormant notes, then generates cross-domain bridge queries for serendipitous rediscovery.

Surface forgotten notes from markdown vaults using DMN-inspired replay cycle to identify dormant notes and generate cross-domain connections.

Enables coding agents to save, search, and recall Markdown notes as persistent memory over MCP using a local index. Exposes remember, search, and recall tools so agents can reuse prior decisions and context across sessions.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Enables AI coding agents to search a shared, sourced corpus of past Claude Code and Codex sessions and curated notes, retrieve full conversations and timelines, and write or extend memory in either a committed or confidential, git-ignored layer. Confidential material is withheld from results unless explicitly requested.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

Enables AI assistants to persistently add, read, and summarize sticky notes through MCP-compliant tools, resources, and prompts.

Converts handwritten journal photos into a searchable, AI-powered local knowledge base using Tesseract OCR. It enables users to query their notes, track insights, and export data through MCP-compatible AI assistants while maintaining complete local data privacy.

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

A local-first, privacy-first MCP server that passively indexes personal digital activity (screenshots, clipboard, notes, downloads, links) into a local database, enabling LLMs like Claude to access your context without cloud storage.

Converts documents, web pages, media, and more to Markdown via an MCP server with tools for conversion, inspection, vault capture, and format listing, all running locally with privacy-first design.

This MCP server connects Claude with Anki, allowing users to create flashcards conversationally and automatically deduplicates, classifies, and uploads them without manual copying and pasting. It runs locally with Ollama for embeddings and classification, ensuring privacy.

Transcribes meeting recordings with speaker diarization and automatic speaker identification, leveraging project context to generate minutes. Supports various ASR engines and offers privacy-preserving local processing.

An unofficial bridge that enables AI models to interact with the LunaTask API for managing tasks, notes, journal entries, and contacts. It supports creating and updating productivity data while respecting LunaTask's end-to-end encryption for sensitive fields.

MCP server for privacy-gated local Apple data access including Mail, Messages, Notes, Calendar, Contacts, Photos, Reminders, Voice Memos, and iCloud Drive.

MCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.

Enables AI agents to securely read, search, and write to a local Markdown knowledge base with hybrid RAG retrieval, privacy zones, hash-locked writes, audit logging, and rollback-safe archiving.

Provides a hybrid search engine for Obsidian vaults, enabling LLM agents to query notes with BM25 keyword and vector semantic search, metadata filtering, and sibling-document retrieval.

Enables AI agents to organize and manage Chrome/Edge bookmarks through natural language, with user-controlled permissions, privacy filters, and safety mechanisms.

Sanitizes Continue.dev session exports and reformats them as readable Obsidian chat Markdown, with MCP tools that return only metadata (paths, counts) for privacy.

Exposes a personal markdown-based second brain (Obsidian-style) as an MCP server, enabling agents to search, read, and write notes with privacy controls.

Local-first, event-sourced personal memory engine in Rust for AI coding assistants (SQLite FTS5 + Obsidian projection).

Local-first personal cognitive engine that provides MCP tools for managing relationships, conversations, agenda, and memory, powered by Ollama.

Enables MCP clients to drive Google NotebookLM for citation-backed Q&A over your sources, plus generation of audio, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps, using multi-account rotation with automatic re-authentication. It also exposes the same engine as a local HTTP REST API for no-code and custom integrations.

Local Markdown/HTML note-taking app with built-in MCP server, agentic workflow runtime engine, wikilinks, and state-machine approval gates.

A privacy-first MCP server that converts messy multi-turn conversations into structured, durable knowledge cards, targeting non-programming agent workflows.