"Extracting and Processing Real Estate Listings Using Vector Databases" matching MCP servers:

Enables AI assistants to securely search and retrieve information from a user's encrypted Joplin notebook via vector memory and MCP.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

MCP server for parsing, searching, and extracting branches from XMind mind map files, supporting Markdown/JSON output, token-aware formatting, and Claude Desktop integration.

Enables deterministic, token-minimal multi-hop retrieval from a vault of [[wikilink]] notes via the Model Context Protocol, allowing LLMs to answer questions by following authored links without vector databases or LLM calls during retrieval.

MCP server for extracting links from text dumps, checking duplicates, extracting YouTube transcripts (with fallbacks including speech-to-text), and preparing workspace-ready page payloads for your note-taking or saving tools. It does not write to your workspace; it hands off prepared content to your existing tools.

Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.

Enables an LLM to autonomously maintain a Markdown-based wiki with YAML frontmatter, using hybrid BM25 and local CPU vector search for fully offline retrieval without external APIs or databases.

An MCP server that provides AI assistants with full access to Notion workspaces, enabling search, read, create, and update pages, databases, and blocks.

An MCP server for Notion API with optimized token efficiency and full database property filtering, enabling AI assistants to manage pages, databases, and blocks.

Enables semantic search over local markdown note collections using vector embeddings, with real-time file watching and zero-config setup.

Enables interaction with macOS system features including file dialogs, clipboard management, Finder integration, and system notifications. It also provides tools for taking screenshots, processing images, managing PDFs, and interacting with the Apple Notes app.

Integrates Apple Notes with AI-powered task extraction and prioritization, enabling automatic processing of notes into actionable items and syncing across multiple productivity services like Google Tasks, Todoist, Notion, and more.

Manages AI prompts stored in Notion databases, enabling search, retrieval, and management across multiple prompt collections.

A lightweight MCP server for Notion that enables natural language management of pages, databases, and blocks through the current Notion API.