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"Automating Design and Deployment of n8n Workflows" matching MCP servers:

  • Design MCP

    S-s-Spudd
    A
    license
    Not graded
    quality
    B
    maintenance
    Provides source-backed design context, route card validation, contract generation, critique and verification reports, evidence packages, Penpot change plans, and anti-repeat checks for design workflows. Does not directly mutate Penpot, but consumes read-only Penpot snapshots.
    11
    MIT

  • Atom-of-thoughts

    kbsooo
    A
    license
    B
    quality
    F
    maintenance
    AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.
    3
    62
    MIT

  • Primitiv

    AI-by-design
    A
    license
    A
    quality
    A
    maintenance
    Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.
    6
    371
    19
    Apache 2.0

  • Out of Context

    HJeon139
    A
    license
    A
    quality
    D
    maintenance
    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.
    5
    Apache 2.0
  • Wheel of Heaven MCP Server by wheelofheaven

    Wheel of Heaven MCP Serverofficial

    wheelofheaven
    A
    license
    Not graded
    quality
    B
    maintenance
    A read-only MCP server that lets AI agents search and retrieve the Wheel of Heaven corpus, including source-grounded facts, interpretations, and comparative traditions, all with full epistemic metadata.
    99
    Creative Commons Zero v1.0 Universal

  • TOOT (Train of Operadic

    sancovp
    F
    license
    Not graded
    quality
    D
    maintenance
    Enables context capture and reinforcement learning by recording successful work patterns and creating reasoning chains for cross-conversation continuity. Automatically captures positive feedback through Claude Code hooks to build reusable success patterns.

  • 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

  • TheWeave: Memory for AI agents

    TheWeaveSC
    A
    license
    Not graded
    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

  • Cadence MCP

    imai-design
    A
    license
    Not graded
    quality
    C
    maintenance
    A daily-rhythm support MCP server for ADHD and bipolar disorder, providing 23 tools for mood tracking, social rhythm regularity, early warning detection, task breakdown, and crisis support, all running locally with zero dependencies.
    MIT

  • KERNL MCP

    duke-of-beans
    A
    license
    Not graded
    quality
    C
    maintenance
    Transforms Claude into a persistent intelligence layer with automatic checkpointing, crash recovery, semantic memory, and cross-project learning. It provides 128+ tools for session management, adversarial testing, and browser automation to eliminate state loss and context rebuild costs.
    52
    MIT

  • CONTINUITY

    duke-of-beans
    F
    license
    Not graded
    quality
    C
    maintenance
    Provides session persistence, crash recovery, decision tracking, and context compression for AI assistants, enabling seamless multi-session continuity.