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Delivers personalized plant care recommendations and reminders for plant enthusiasts.
Enables AI agents to execute a wide range of SQL operations, including read, create, insert, update, and delete, against a MySQL database.
Provides structured food hierarchy and nutrition data through a production-ready Model Context Protocol (MCP) server, integrating StreamableHTTP transport with MongoDB Atlas for scalable data delivery.
Connects large language models (LLMs) to various Aiven services like PostgreSQL, Kafka, and OpenSearch to facilitate full-stack solution building.
Manages dynamic review records with user-defined schemas, offering flexible storage and API access.
Streamlines common healthcare data pulls and analytics for value-based care, quality measures, and financial metrics.
Provides advanced tools for interacting with PocketBase databases, enabling operations like schema management, data manipulation, and user authentication.
Provides a server for managing LanceDB databases.
Exposes Salesloft data as relational SQL models through an MCP interface for natural language querying by large language models.
Provides a Model Context Protocol (MCP) server for analyzing Trino database schemas and managing their structure.
Equips AI assistants with local-first, persistent memory, semantic search, and knowledge graph capabilities.
Provides an SQLite-based memory server utilizing WAL mode for concurrent access, serving as a drop-in replacement for `@modelcontextprotocol/server-memory`.
Integrates AITable's data management capabilities with AI models via a Model Context Protocol server, offering both local and remote access.
Integrates the Notion API with the Model Context Protocol, enabling AI agents to interact with Notion content and structure.
Connects OData data from Claude Desktop through CData JDBC Drivers, enabling natural language querying of live data.
Connects Peliqan accounts to external services and data sources by exposing custom Peliqan MCP methods as API endpoints.
Empowers AI assistants with persistent personal finance management capabilities by integrating with a PostgreSQL database for real-time expense tracking, analysis, and reporting.
Provides AI assistance for Frappe/ERPNext development, offering tools for DocType creation, bench commands, app management, and API endpoints.
Orchestrates multiple AI models with dynamic routing, cross-checking, and cost optimization, leveraging a stateless architecture for efficient context management.
Parse and query investment statements from various institutions using natural language and structured tools.
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