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Facilitates interactive data exploration by turning complex datasets into actionable insights.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Powers AI agents with a semantic engine for accessing business data with accuracy, context, and governance.
Converts APIs described by OpenAPI specifications into MCP-compatible interfaces for seamless integration with AI agents.
Facilitates rapid development of AI-native applications through model invocation, workflow orchestration, and application deployment.
Provides a collection of official plugins for the Dify platform, including models, tools, agent strategies, and extensions.
Provides a Model Context Protocol (MCP) server for interacting with dbt projects.
Provides an agent-based framework with command-line tools for integrating AI models into daily workflows.
Exposes AI tools, resources, and prompts from NestJS applications using the Model Context Protocol.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Enables large language models to interact with Alpaca's trading infrastructure using natural language for stock and option trading.
Enables AI assistants and automated analysis tools to interact with Ghidra's reverse engineering capabilities through a standardized API.
Orchestrates strongly typed, enterprise-scale workflows with seamless AI integration and high performance.
Transforms natural language questions into SQL queries using graph-powered schema understanding.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Transforms various document formats like PDF, Office, and images into Markdown using a high-performance, multi-GPU service, and integrates with AI assistants via the Model Context Protocol (MCP).
Accelerate PDF document processing for AI agents by extracting text, images, and metadata with parallel execution and precise content ordering.
Generates detailed diagrams to visualize complex codebases and system architectures using AI.
Enables ultra-fast, cognitive code search for AI agents by inferring intent from code structure without reading files.
Visually maps the execution plan of AI coding agents as an interactive flowchart before code generation.
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