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Facilitates multi-language translation and text-to-speech using an MCP architecture.
Augments R sessions with specialized tools for seamless interaction and code execution by Large Language Models.
Enables AI assistants to interact with PostgreSQL databases using natural language queries.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Integrates Elastic Cloud Serverless with the GCP Agent Development Kit via an experimental MCP server for AI agent interaction.
Orchestrates video management, intelligent search, and generative editing within the Video Jungle platform via large language models.
Enables users to upload PDF documents, process them, and ask questions about their content using natural language, powered by Retrieval Augmented Generation (RAG).
Integrates enterprise tools like Jira, GitLab, and Confluence with AI agents through a unified Model Context Protocol server.
Detects and analyzes transactional fraud using a multi-model approach with large language models and external tools.
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