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Exposes GraphQL schema information for Raphtory graphs, enabling LLMs to understand graph structure.
Manages and standardizes interactions with multiple Large Language Models (LLMs) through a unified interface.
Retrieves historical stock data using the yFinance library within an MCP environment.
Connects AI agents to the Paradex trading platform for market data retrieval, account management, and trade execution.
Enables natural language querying and direct manipulation of MySQL databases through Model Context Protocol (MCP) and HTTP interfaces.
Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.
Provides a local-first memory and symmetrical knowledge graph solution for rapid deployment and intelligent information management.
Automates the generation and management of comprehensive test cases from product requirements using AI.
Indexes local documents and runs Retrieval Augmented Generation (RAG) search to provide context for AI tools.
Provides a sample Model Context Protocol server for Azure Container Apps with HTTP streamable responses.
Provides a modular framework for building modern conversational AI systems, compatible with standard transformer backbones and production deployment.
Manages and analyzes academic literature by supporting PDF import, advanced search, knowledge graph construction, and automated review generation.
Facilitates seamless interaction with the Gravity Swarm agent reputation network, allowing users to enlist, process tasks, submit results, and earn ELO.
Orchestrates AI workflows and manages Model Context Protocol (MCP) servers for intelligent agent automation.
Provides agent-friendly semantic classification of over 15,000 subgraphs on The Graph Network, including domain, protocol, schema, and reliability scores.
Provides an AI memory engine for structured knowledge, offering server-side intelligence for domain routing, entity extraction, deduplication, and supersession.
Integrate Sber SaluteSpeech API capabilities for robust speech recognition and text-to-speech synthesis within your AI development environment.
Facilitates academic paper research and early writing tasks by integrating with scholarly databases.
Optimize customer relationships with AI-powered lead scoring, deal stage prediction, follow-up scheduling, customer health assessment, and churn prevention.
Performs high-performance, adaptive web scraping and data extraction with advanced anti-detection capabilities.
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