Browse all content tagged with Claude
Createve.AI Nexus is an open-source MCP server by RootUK, enabling AI assistants to securely access enterprise data, trigger workflows, and interact with business applications. With support for platforms like Copilot Studio and Claude, it empowers real-time monitoring, automation, and analytics for modern organizations.
The QGIS MCP Server bridges QGIS Desktop with LLMs for AI-driven automation—enabling project, layer, and algorithm control, as well as Python code execution directly from conversational interfaces.
Think MCP Server provides a structured reasoning tool for agentic AI workflows, enabling explicit thought logging, policy compliance, sequential decision-making, and advanced critique and planning. Designed for seamless integration with Claude, FlowHunt, or other agentic LLMs, it enhances transparency and auditability in AI agent behavior.
AbletonMCP bridges Ableton Live with AI assistants like Claude, enabling two-way communication for automating music production, manipulating tracks, generating MIDI clips, and controlling live sessions—all via natural language.
The Google Calendar MCP Server enables AI agents to access, manage, and automate Google Calendar events, including listing, creating, updating, and deleting events, handling recurring and smart imports, and checking user availability—all through a secure, extensible Model Context Protocol integration.
Find out more about Anthropic's Claude 3.5 Sonnet: how it compares to other models, its strengths, weaknesses, and applications in areas like reasoning, coding, and visual tasks.
Learn more about Claude by Anthropic. Understand what it is used for, the different models offered, and its unique features.
FlowHunt 2.4.1 introduces major new AI models including Claude, Grok, Llama, Mistral, DALL-E 3, and Stable Diffusion, expanding your options for experimentation, creativity, and automation in AI projects.
FlowHunt supports dozens of AI models, including Claude models by Anthropic. Learn how to use Claude in your AI tools and chatbots with customizable settings for tailored responses.
Discover how Model Context Protocol (MCP) enables secure filesystem operations for AI assistants and development tools. This comprehensive guide explains MCP's sandboxed approach, walks through practical examples with Claude, and provides best practices for implementation. Learn how to safely integrate file reading, writing, and directory operations while maintaining strict security boundaries—perfect for developers working with AI systems or creating secure applications.
