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Integrates Claude Desktop with a course creation API, ElevenLabs text-to-speech, and Azure Blob Storage to manage and create educational content.
Deploys an unauthenticated remote Model Context Protocol (MCP) server on Cloudflare Workers, providing a backend for AI tools.
Connects Claude Desktop to Azure AI Agent Service for AI-enhanced document and web search, or directly integrates with Azure AI Search for keyword, vector, and hybrid search capabilities.
Enhances AI agent capabilities for personal workspace management by providing automated project documentation, cloud infrastructure access, and code analysis.
Enables seamless integration of Tableau Cloud and Tableau Server operations through a Model Context Protocol (MCP) server.
Enables large language models to manage and automate VAST Data Platform infrastructure through natural language commands.
Enables clients to retain and retrieve user information across conversations, leveraging vector search for semantic understanding.
Provides an agentic medical AI assistant platform for multi-modal search, FHIR integration, and intelligent clinical insights.
Provides progressive disclosure access to the Kubernetes API, enabling AI agents to interact with clusters efficiently and securely.
Enables AI agents to connect and interact with remote servers over SSH, automating common DevOps tasks.
Manages Proxmox VE nodes, virtual machines, and containers through the Model Context Protocol.
Enables natural language interaction with Upstash services through the Model Context Protocol.
Enables AI assistants to interact with Docker containers and services through the Portainer API.
Connects to a managed index on LlamaCloud, allowing access to information from your knowledge base.
Manages local files and cloud backups intelligently, organizing folders, removing duplicates, and integrating with Google Drive for automated storage.
Enables AI agents to perform email operations such as sending, reading, searching, deleting, and replying to messages.
Enables Claude to perform security scans on Terraform code, visualize AWS cloud architectures, and execute Terraform commands.
Analyzes AWS Bedrock usage and logs through Anthropic's Model Control Protocol (MCP).
Empowers AI assistants to interact with AWS CLI, enabling command execution and documentation retrieval through the Model Context Protocol.
Provides an API to query information about registered applications using the Model Context Protocol (MCP).
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