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"How to access and manage bookmarks on X / Twitter" matching MCP servers:

  • x-bookmarks-mcp

    p0ki
    A
    license
    -
    quality
    D
    maintenance
    Fully local, privacy-first MCP server that turns exported X/Twitter bookmarks into a searchable, enriched knowledge base for Claude Desktop and Claude Code.
    2
    MIT

  • bookmarks-lifecycle

    Fisher521
    A
    license
    A
    quality
    A
    maintenance
    A local MCP server that gives saved bookmarks a lifecycle with time-based layers (pending, watching, kept, lapsed), so they get decided on instead of accumulating. It aggregates bookmarks from your browsers, drips them into a daily queue, and supports keep/watch/drop decisions, restore, and undo.
    7
    150
    MIT

  • bookmarks-mcp

    Fisher521
    A
    license
    A
    quality
    A
    maintenance
    A local, read-only MCP server that makes bookmarks from browsers, read-later apps, and export files accessible to AI assistants, enabling search, triage, and summarization without sending data anywhere.
    8
    170
    MIT

  • veyra-bookmarks

    Aquariosan
    A
    license
    -
    quality
    D
    maintenance
    Bookmark manager for AI agents with tags, categories, and full-text search. Reads are free, writes require Veyra commit mode.
    7
    MIT

  • Prompt Bookmarks

    nika-is-nika
    A
    license
    -
    quality
    C
    maintenance
    Enables users to organize, search, and manage a shared library of prompts across AI tools via the Model Context Protocol. It supports hierarchical folder organization, tagging, and template variable substitution for dynamic prompt generation.
    MIT

  • Graph X

    vugarfamiloglu
    A
    license
    -
    quality
    C
    maintenance
    A knowledge graph MCP server that indexes your codebase into a local SQLite graph and provides tools for project mapping, file summaries, and impact analysis, drastically reducing token usage in AI coding assistants.
    MIT

  • On Board

    swisspra
    A
    license
    B
    quality
    A
    maintenance
    On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.
    30
    3
    Apache 2.0

  • AgentRecall

    Goldentrii
    A
    license
    A
    quality
    C
    maintenance
    MCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.
    5
    364
    MIT

  • Obsidian Second Brain MCP

    dhaseeb-proj
    A
    license
    A
    quality
    C
    maintenance
    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.
    6
    MIT

  • MCP Memento

    x-hannibal
    A
    license
    A
    quality
    C
    maintenance
    A persistent long-term memory server for AI assistants that enables storing and recalling solutions, facts, and decisions with intelligent confidence tracking and relationship mapping. It allows developers to build a cross-platform knowledge base that integrates seamlessly with IDEs and CLI agents.
    17
    2
    MIT

  • TheWeave: Memory for AI agents

    TheWeaveSC
    A
    license
    -
    quality
    A
    maintenance
    TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.
    2
    Apache 2.0

  • arcane

    Edition-X
    A
    license
    -
    quality
    B
    maintenance
    Provides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.
    MIT