"How to use personal browser with cookies enabled" matching MCP servers:

Enables MCP hosts to index local PDFs and ask grounded questions over them, retrieving semantically relevant passages with optional reranking and source-attributed, citation-backed answers.

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

Enables AI agents to answer questions about a personal site straight from its published JSON bundle — profile, posts, case studies, pages, projects, stats and small datasets — through seven read-only tools for listing, full-text search, fetching Markdown, and querying dataset rows, with no sign-in, database or write path.

A personal AI memory service based on MCP protocol that provides long-term memory capabilities for various AI clients.

Enables MCP-compatible AI clients to securely access a user's personal context by exposing connector data, starting with recent Spotify listening activity, through per-user OAuth and tools.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

A privacy-first memory layer for AI that securely bridges local knowledge with AI assistants through MCP tools, with intelligent redaction and local vector database.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

Provides AI assistants with persistent, graph-based memory using Neo4j, enabling semantic search and complex relationship tracking. It features specialized Cloudflare Access support for secure remote connections and isolated multi-database management for different projects.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Enables LibreChat agents to manage per-user private files, persistent documentation, RAG indexing and semantic search, and publish files via secure opaque public links.

Syncs AI conversations from multiple platforms to local Markdown files for your second brain, and provides browser automation tools via MCP for agentic workflows.

Enables browser-based AI services to connect through remote MCP for internal document search, email checking and replies, timecard, sales/project, schedule/task, and operations tasks. It supports multiple AI clients via compatible remote MCP endpoints.

Enables MCP clients to search encrypted, self-hosted archives and retrieve bounded records from Apple, Canvas, Health, travel, and Obsidian sources while checking sync freshness.

MCP server providing weather lookup, semantic search over personal notes (RAG), and image generation tools for any MCP client like Claude Desktop.

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.

Provides AI-assisted long-term memory storage and retrieval with exact-phrase and semantic hybrid search, enabling save, read, delete, and admin recovery via MCP tools.

Indexes local and enterprise documents to provide a unified personal knowledge base for AI clients via the Model Context Protocol. It supports full-text search across various file formats and integrates with platforms like Feishu and WeChat Work.