mcp-structured-thinking

MIT License
59
2

User-submitted Alternatives

No user-submitted related servers found.

    Semantically Related Servers

    • A
      security
      A
      license
      A
      quality
      A Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.
      Last updated -
      9
      1
      Python
      MIT License
      • Apple
    • -
      security
      A
      license
      -
      quality
      An MCP server that enables LLMs to understand and work with TypeScript APIs they haven't been trained on by providing structured access to TypeScript type definitions and documentation.
      Last updated -
      176
      11
      TypeScript
      MIT License
    • A
      security
      F
      license
      A
      quality
      A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.
      Last updated -
      1
      5
      TypeScript
    • A
      security
      A
      license
      A
      quality
      An MCP server that allows LLMs to create structured Xmind mind maps with hierarchical topic structures, supporting features like notes, labels, and markers.
      Last updated -
      1
      JavaScript
      MIT License
      • Apple
    • A
      security
      A
      license
      A
      quality
      A Model Context Protocol server that converts Markdown content into interactive mindmaps, allowing AI assistants to visualize hierarchical information through either HTML content or saved files.
      Last updated -
      1
      38
      Python
      MIT License
      • Apple
    • -
      security
      A
      license
      -
      quality
      A Model Context Protocol (MCP) server that implements AI-First Development framework principles, allowing LLMs to interact with context-first documentation tools and workflows for preserving knowledge and intent alongside code.
      Last updated -
      321
      Python
      AGPL 3.0
    ID: 329nc6lq7h