Implements a step-by-step reasoning framework for LLMs, supporting structured problem-solving and complex task execution. Includes implementation by hemangjoshi37a.
Loading more......
An MCP server that enables multiple LLMs to share and analyze responses for collaborative problem-solving and multi-perspective analysis using the Model Context Protocol. Directly relevant as an MCP server.
A Model Context Protocol (MCP) server implementation for the Google Gemini language model, allowing Claude Desktop users to access the reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21.
MCP server to access and manage LLM application prompts created with Langfuse Prompt Management.
An MCP server for interacting with the Perplexity API, providing AI assistants with access to Perplexity's capabilities via MCP.
An MCP server that enhances AI agent reasoning by integrating the 'think-tools' as described by Anthropic, boosting AI context management via MCP.
Facilitates structured product development via specialized AI roles using the Model Context Protocol, converting requirements into actionable tasks. Highlights workflow automation with MCP servers.
Implements a step-by-step reasoning framework for LLMs, supporting structured problem-solving and complex task execution. Includes implementation by hemangjoshi37a.
thought (string): The current thinking step.nextThoughtNeeded (boolean): Whether another thought step is needed.thoughtNumber (integer): Current thought number.totalThoughts (integer): Estimated total thoughts needed.isRevision (boolean, optional): Whether this revises previous thinking.revisesThought (integer, optional): Which thought is being reconsidered.branchFromThought (integer, optional): Branching point thought number.branchId (string, optional): Branch identifier.needsMoreThoughts (boolean, optional): If more thoughts are needed.claude_desktop_config.json using the npx command.MIT License (free to use, modify, and distribute under the license terms).