"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.

Enables fast local hybrid search over a folder of markdown files via MCP, combining BM25 and vector similarity with explicit relevance verdicts and no LLM or network calls at query time.

Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.

Enables semantic and full-text search over markdown notes, with tools to create, edit, move, and delete notes, all through MCP. Runs entirely locally using Ollama for embeddings and SQLite for storage, working with Obsidian or standalone.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

Saves the user's exact words as immutable, SHA-256-hashed captures before anything else, then derives events, entities, context cards, and causal hypotheses — every fact traceable to its verbatim source. Local-first personal memory for Claude Code, Codex, and any MCP client.

Enables querying, listing, and summarizing personal knowledge base documents using RAG with hybrid search and LLM.

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

A FastMCP server exposing 22 tools for calendar, to-do, notes, web search, math, scratchpad, task queue, and sandboxed code execution, designed for safe RL training with structured outputs and FastMCP transforms.

Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.

Enables creating meeting minutes from unstructured meeting memos with validation, grounding checks, and user-approved saving.

Stores personal context as markdown files and exposes them via MCP for AI assistants to retrieve user preferences, skills, and background.

MCP server for Personal OS API that enables managing tasks, notes, projects, collections, reviews, and more through typed tools over stdio.

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.

Provides hybrid search (BM25 + vector) and staleness reporting for local markdown notes, exposing search and indexing tools to AI assistants via MCP.

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.

MCP server for managing personal notes with tools to save, list, get, search, and delete notes, persisting data in PostgreSQL.

Enables a local-first Codex plugin to maintain durable OKF memory, manage scoped project and personal context, and perform reviewed selective encrypted exports and recovery.

Enables natural-language management of calendar events, notes, and scanned or photographed documents through a ReAct agent that schedules and reschedules events, detects scheduling conflicts, and searches notes with hybrid vector plus keyword retrieval. It also ingests visual documents via an OCR/CNN vision worker, stores long-term agent facts, and synthesizes cross-context summaries.

A Model Context Protocol server for tracking personal health and well-being, offering tools for workout logging, nutrition management, and daily journaling with AI-assisted analysis integration.