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qualityEnhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.
Python
MIT License
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Why this server?
Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision, implying multimodal reasoning.
Why this server?
Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities, indicating support for multiple modalities.
Why this server?
Provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction, i.e. supports both visual and textual modalities.
Why this server?
MCP Extension that gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation; enables interaction with both text and research papers.
Why this server?
Enhances LLM capabilities with location-based services and geospatial data, enabling users to geocode addresses, find nearby points of interest, get directions, optimize meeting points, and analyze neighborhoods, implying multimodal integration with location data.
Why this server?
A Model Context Protocol server that enables conversational LLMs to delegate complex research tasks to specialized AI agents powered by various OpenRouter models, coordinated by a Claude orchestrator, potentially combining multiple AI functionalities.
Why this server?
A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices, integrating multiple functionalities.
Why this server?
A server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results, which uses different models as modalities.
Why this server?
An MCP server that provides integration with Microsoft's AutoGen framework, enabling multi-agent conversations through a standardized interface, enabling different agents with different functionality.
Why this server?
A Model Context Protocol server that enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases, combining textual information with protein structure data.