A
license-
qualityD
maintenanceAn MCP server for saving, managing, and enhancing context with pre-processing strategies like clarification, analysis, and search optimization.
13
MIT
72,476 servers. Updated
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"App element selection for context" matching MCP servers:
- FlicenseAqualityBmaintenanceEnables 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.23
- AlicenseAqualityBmaintenanceStores personal context as markdown files and exposes them via MCP for AI assistants to retrieve user preferences, skills, and background.61MIT
- AlicenseBqualityCmaintenanceA live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.431782MIT
- FlicenseBqualityAmaintenanceParses an Obsidian vault and exposes structured context (notes, blocks, tasks, headings) through MCP tools, enabling AI clients to query and reason over local markdown notes.19
- Alicense-qualityBmaintenanceAn open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.99184MIT
- Alicense-qualityAmaintenanceEnables Claude to pull curated context from self-hosted Markdown files via a remote MCP connector, with an append-only journal for agent notes manually promoted by the owner.31MIT
- Alicense-qualityAmaintenancePersists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.MIT
- Flicense-qualityCmaintenanceMCP server for a full-stack note-taking application, exposing CRUD tools for notes with SSE transport for AI agent integration.1
- Flicense-qualityDmaintenanceA simple notes MCP server that enables creating, listing, and summarizing text notes via resources, tools, and prompts.
- Flicense-qualityDmaintenanceThis MCP server provides an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer apps with AI7
- FlicenseAqualityDmaintenanceGive your AI persistent, structured memory and let humans see it too. It stores project knowledge as Markdown files in a hierarchical tree, accessible via MCP tools and a built-in Web UI.62
- AlicenseAqualityCmaintenancePrivate tooling to stage ChatGPT conversations into reviewable Homebase markdown and Notion drafts with redaction and classification.7MIT
- FlicenseBqualityDmaintenanceEnables 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.106
- Alicense-qualityCmaintenanceEnables AI agents to maintain a structured Markdown or Obsidian memory vault with tools for reading, writing, searching, and organizing notes.MIT
- Flicense-qualityCmaintenanceMCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.
- Flicense-qualityCmaintenanceProvides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.
- AlicenseAqualityDmaintenanceAn MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.5Apache 2.0
- Alicense-qualityAmaintenanceConnects to Microsoft OneNote desktop via COM API, exposing 27 tools for hierarchy, page CRUD, search, rich content, export, health checks, and more. Enables natural-language control of OneNote without API keys or embedded AI providers.MIT
- Alicense-qualityDmaintenanceEnables AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.AGPL 3.0