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Enables querying of live Office 365 data from LLMs like Claude Desktop using a Model Context Protocol (MCP) interface.
Enables AI assistants to perform complex code operations, advanced code analysis, and semantic search through a standardized Model Context Protocol interface.
Empowers AI agents to autonomously manage library installation, configuration, and usage across any programming language by treating libraries as executable programs.
Provides an LLM service leveraging Spring Boot Java.
Offers a hybrid AI-powered platform for comprehensive LGPD and GDPR compliance, ensuring maximum data privacy with local processing and premium legal knowledge.
Provides an MCP server enabling AI assistants to directly access and query a German family business knowledge graph database.
Exposes KevoDB operations through a Multimodal Communication Protocol, enabling AI agents to interact with KevoDB using a standardized API.
Enables natural language querying of Couchbase Capella clusters using the Model Context Protocol.
Demonstrates integrating AI agents with local and remote tool execution via MCP and Ollama.
Facilitates interactions with various AI service APIs, including Hugging Face and Dify.
Enables generative AI to interact with the Japanese government's e-Stat API.
Provides a foundation for building AI-powered applications communicating with MCP-compatible clients via Server-Sent Events.
Offers over 40 statistical analysis tools for AI assistants, encompassing descriptive statistics, hypothesis testing, and regression analysis through an MCP server.
Provides intelligent code context and analysis for modern IDEs by leveraging semantic analysis, AST parsing, and token-efficient compression for AI assistants.
Enables natural language conversations with any JDBC-compatible database for querying, analysis, and visualization.
Enable intelligent journaling by leveraging large language models, RAG for querying, and robust data indexing for personal entries.
Enables LLM agents to fetch live weather information from the OpenWeather API using LlamaIndex and MCP tool integration.
Enables Large Language Models to query live Pinterest data through a Model Context Protocol server.
Automates the rapid generation of high-quality Next.js applications using AI-driven context engineering and a structured development methodology.
Access real-time NBA odds data and AI/ML game simulations through an MCP server.
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