Enables LLMs to programmatically construct mind maps while enforcing metacognitive self-reflection.
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This TypeScript server, based on the Model Context Protocol (MCP), empowers LLMs to explore idea spaces by building mind maps programmatically. It incorporates metacognitive self-reflection through thought quality scoring and stage-based feedback, guiding the LLM's thinking process and encouraging exploration of different reasoning paths. The server manages short-term and long-term memory of thoughts, allowing for summarization and retrieval of relevant ideas, and enables branching to explore multiple solutions concurrently.
Key Features
01Enforces metacognitive feedback to guide LLM thinking.
02Assigns quality scores to thoughts based on content and stage.
03Supports thought branching for parallel exploration of ideas.
04Uses configurable stages to manage the lifecycle of the LLM's thinking process
05Maintains short-term and long-term memory for thought retrieval and summarization.
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Use Cases
01Enabling LLMs to generate and refine ideas in a structured manner.
02Facilitating LLM-driven brainstorming sessions.
03Guiding LLMs through complex problem-solving tasks.
