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

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.

Enables AI-driven creation of savable Wallpaper Engine web wallpaper source projects through a local STDIO service, with bounded project discovery, revision-checked file edits, checkpoint restore, validation, and publish staging. It also opens managed preview windows to set public properties and capture screenshots and bounded logs as runtime feedback from the official engine.

Enables AI agents to search, read, organize, draft, send, and schedule email through a scoped token, with actions journaled and reversible. It also supports proposal queues, approval workflows, and undo operations for safe mailbox automation.

Enables connecting a personal WhatsApp number to any MCP client, providing tools to send, search, and manage WhatsApp messages, with an optional auto-reply feature.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Local multimodal MCP server for vision, document, audio, video, and GUI automation, all processed locally on Apple Silicon for privacy and security.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Camunda Platform workflow engine. Provides 21 specialized tools for complete workflow automation and process management.

MCP server for governed AI content publishing to platforms like WeChat, Juejin, CSDN, and Zhihu, exposing tools for platform auth checks, content preflight, publish job lifecycle, verification, and liveness monitoring.

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.

Connects AI systems to Local Falcon API, enabling access to local SEO reporting tools including scan reports, trend analysis, keyword tracking, and competitor data through the Model Context Protocol.

Local tools that let your AI use Mail, Calendar, Contacts, Teams, Slack, WhatsApp (Mac), OneDrive, Google Drive, Notion, Outlook (Windows) and Office files on Mac and Windows. Runs on your computer.

Enables MCP-capable AI clients to control an interactive SOLIDWORKS 2025 session through a durable shared queue with whole-operation locking, document targeting, and explicit recovery.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Bridges a local Tongdaxin client to MCP, exposing tools for market data, financial information, sector management, terminal push, simulated trading, and automatic price alerts, enabling natural-language data retrieval, analysis, and order operations through agents.

Enables compatible AI apps to observe and control a locally connected iPhone through stdio MCP tools for screenshots, taps, swipes, long presses, text entry, key and button presses, app listing, and app launching, all reusing the console's device session.

A local MCP server that uses Word COM automation to perform tasks python-docx cannot, such as computing field/TOC values, counting real pages, rendering high-fidelity PDFs, converting/repairing legacy formats, producing redline comparisons, and running native mail merge.

Enables AI agents and users to process documents through natural language, supporting PDF operations like text extraction, redaction, splitting, form filling, annotations, and content search.

MCP server that turns natural-language requests into configured n8n workflows and safely operates a local n8n Docker stack, including workflow management, API access, and Docker lifecycle operations with confirmation-based safety.

An MCP server that enables AI assistants to manage Google Docs through natural language, including listing, reading, creating documents, and appending text. It features a simple browser-based OAuth login and persistent sessions.