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Provides a standardized interface for interacting with the CW-Social smart contract on Cosmos-based blockchains, enabling the creation, querying, and management of cyberlinks.
Facilitates rapid research and development using AI, AI Agents, and Large Language Models within a VS Code environment.
Exposes KevoDB operations through a Multimodal Communication Protocol, enabling AI agents to interact with KevoDB using a standardized API.
Retrieves movie and TV show information using the TMDB API.
Manages persistent memory and context for AI systems through a structured 5-phase optimization workflow.
Connects Confluence data to Claude Desktop using CData JDBC Drivers.
Provides a production-ready Model Context Protocol (MCP) server for comprehensive research and analysis, integrating web and academic search with intelligent content extraction and an optional interactive web interface.
Manages remote memory banks for AI models and development workflows via a Model Context Protocol (MCP) server.
Aggregates external API data, including weather, news, and financial information, into a single, consistent interface for AI agents and large language models.
Intelligently preprocesses LLM prompts with adaptive context management to improve AI response quality.
Bridges Shogi AI engines with HTTP API and Model Context Protocol for integration with AI agents.
Integrate high-quality machine translation services from the University of Tartu into AI assistants and applications.
Orchestrates an e-commerce system using collaborative AI agents for customer consultation, inventory management, and automated order processing.
Provides secure, read-only access to RethinkDB databases for AI assistants and Model Context Protocol clients.
Integrates Microsoft OneNote with AI models, enabling structured access and manipulation of notebooks, sections, and pages.
Empowers AI agents to analyze, query, and audit large CSV files with surgical precision without writing any code.
Transforms any careers page into a structured, AI-enriched job feed for use with AI assistants and job aggregators.
Integrate vehicle information, status, and control capabilities into AI assistants and other Model Context Protocol clients.
Detects AI-generated content across images, videos, audio, and text using a standardized Model Context Protocol (MCP) architecture.
Manages AI workloads on Kubernetes using GitOps principles for diverse inference services and development environments.
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