Configure and send prompts to OpenRouter models as a subagent, with reasoning controls, temperature, and optional multi-model Fusion synthesis.
MIT
306,363 tools. Last updated 2026-07-26 19:03
"OpenRouter thinking or reasoning capabilities" matching MCP tools:
- Replace a previous thought with updated reasoning, preserving the original in revision history. Corrects incomplete or wrong thinking.MIT
- Break down complex problems into structured reasoning steps to track thinking, expected outcomes, and next actions for systematic problem-solving.MIT
- Execute complex reasoning tasks using high-performance models for analytical responses.MIT
- Send a design prompt to a specific model via OpenRouter, using either an OpenRouter model ID or a Design Arena model name.MIT
- Initiate structured reasoning sessions to analyze problems through sequential thinking steps, enabling systematic problem-solving with revision capabilities.MIT
Matching MCP Servers
- Alicense-qualityAmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.Last updated741MIT
- AlicenseAqualityBmaintenanceAdds a deep_reasoning tool that consults stronger reasoning models (e.g., DeepSeek R1) to produce full reasoning traces for complex problems, helping the agent shape and cross-check its answers.Last updated1MIT
Matching MCP Connectors
OpenRouter Models MCP.
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- Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.MIT
- Generate AI responses by combining DeepSeek's reasoning with Claude's generation through OpenRouter, maintaining conversation context for enhanced interactions.MIT
- Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.MIT
- Process complex problems through multi-modal reasoning, collaborative AI personas, and dynamic knowledge graphs. Supports analytical, creative, and critical thinking modes to generate well-reasoned solutions.
- Determines the appropriate reasoning depth by classifying query effort levels into low, medium, or high, with model hints and thinking budget for efficient task execution.
- Force update the model cache from OpenRouter to retrieve the most current model details, pricing, and capabilities.
- Perform deep reasoning and complex analysis by automatically routing to optimal AI capabilities for multi-step problem-solving and research questions.
- Continue an existing AI reasoning session by adding new context or questions to refine analysis and strategic thinking.
- Set up your OpenRouter API key to enable image generation and editing capabilities using the Gemini 2.5 Flash Image model.
- Generate sequential reasoning chains to structure complex thinking processes by breaking topics into logical steps for clearer analysis.MIT
- Generate detailed thinking process text using Gemini's experimental model to analyze CSV data and perform complex reasoning tasks.
- Apply a 9-step reasoning framework to systematically analyze complex problems, breaking them down with structured logical thinking and methodical approaches for clear solutions.MIT
- Query Perplexity with Claude Opus 4.8 Thinking for advanced reasoning and extended analysis. Returns comprehensive answers using web sources.MIT
- Answer complex questions using Claude Opus 4.7's extended reasoning capabilities. Requires Max subscription and uses one Pro search query.MIT