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"Managing and Working with Files" matching MCP servers:

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    An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.
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    Apache 2.0
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    A convention-aware MCP server for managing markdown files with YAML schema validation. It enables AI agents to read, write, search, and validate markdown notes while enforcing user-defined conventions across directories like Obsidian vaults and documentation repositories.
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    MIT
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    Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.
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    MIT
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    A shared working-state layer for AI coding tools that provides a persistent notebook for decisions, tasks, and handoffs, enabling seamless context sharing between Claude, Cursor, and other MCP clients.
    13
    Apache 2.0
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    Unofficial MCP server for accessing and managing TimeTree calendar data, including events, memos, and comments, with secure email/password authentication.
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    MIT
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    This MCP server implements a second brain system, managing unvalidated investigation cases as JSON and validated knowledge as markdown files and skills. It provides tools for creating, updating, promoting cases, managing knowledge files, and performing semantic search.
    14
    MIT
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    Provides API access to a locally-hosted task management system with features for creating, updating, and organizing tasks, including support for urgency levels, effort estimates, subtasks, and bi-directional sync with Obsidian markdown files.
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    MIT
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    Stores AI memories as Markdown files for visualization in Obsidian's graph view, allowing users to create knowledge graphs with entities, relations, and observations.
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    MIT
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    Enables AI agents to interact with Notion workspaces through the Notion API. Supports reading, writing, commenting, and managing Notion pages and databases with optimized token consumption for AI agents.
    19
    187,964
    MIT
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    An ADHD-friendly productivity system that uses AI to provide frictionless capture of tasks and ideas through natural language input, with automatic context detection and intelligent routing to appropriate project trackers. Eliminates cognitive overhead by working with ADHD thinking patterns rather than against them.
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    Enables to interact with Yuque knowledge base API through MCP. Supports discovering, reading, creating, updating, deleting docs and repos, managing groups and members, and using Yuque content as a research knowledge base.
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    MIT