"A local vector-based search engine for personal documents" matching MCP servers:

A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

A custom MCP server for orchestrating Windows/Linux/macOS workstations, providing filesystem, shell, SSH, and personal productivity tools with security features like allowlisting and human-in-the-loop approval for writes.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

A personal MCP server built with Python FastMCP, offering tools for paper retrieval, dataset analysis, project scaffolding, and directory utilities, with stdio and HTTP transport plus optional bearer token authentication.

A local AI agent workspace that allows users to interact with simulated data files via custom slash commands and context mentions, powered by Google GenAI SDK and MCP.

Enables managing personal information with dynamic topic-based organization (tasks, meetings, contacts, etc.), supporting optional OTP authentication and AES-256 encryption for sensitive data with automatic backups.

A simple MCP server for local documentation with RAG capabilities, enabling AI assistants to access and search local documents.

A lightweight, stdio-based MCP server enabling AI assistants to perform local file system operations like reading, writing, searching, and executing commands.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

Enables safe, read-only browsing of allowlisted local directories through MCP, providing tools to list roots, read files, and search text.

Enables clients to read files, list tests, and run tests through MCP tool calls, while refusing apply operations.

Enables AI assistants to perform offline semantic search over user-authorized code, documents, and images on macOS using EmbeddingGemma 2.

一个基于FastMCP协议的文件向量化服务，支持自动目录监控、多格式文件处理和高效向量搜索，帮助构建个人或团队知识库。

Claude Code MCP server to create and update local interactive web pages (Artifacts) that live-refresh via SSE.

Enables controlled local Windows file inspection, reading, writing, reversible deletion, restoration, and auditing across user-selected folder roots. Commits occur only after separate owner approval in a native desktop dialog, while the tool cannot bypass OS security controls.

Enables MCP clients to securely inspect and control registered Windows PCs over a private Tailscale network, with risk-based approvals for actions such as launching apps, capturing screens, managing files, and simulating input.

Enables managing personal notes through natural language, with tools to save, search, list, update, and delete notes via a local LLM and persistent JSON storage.

A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.

Unified personal assistant MCP server that connects local files, GitHub repositories, YouTube playlists, Gmail, and Steam data. Enables querying and managing personal data across multiple platforms through natural language via LM Studio integration.