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Provides a Model Context Protocol (MCP) server to interact with a VikingDB instance for storing and searching information.
Provides a secure Model Context Protocol server for time-based operations, featuring timing attack protection and timelock encryption.
Enables secure interaction with OceanBase databases for AI assistants through a controlled interface.
Enables Large Language Models to directly query and interact with Azure Cosmos DB data.
Enables Large Language Models (LLMs) to understand BigQuery dataset structures and execute SQL queries.
Facilitates interaction with Alibaba Cloud's Lindorm multi-model NoSQL database through a suite of tools for data retrieval and management.
Provides access to Baidu Cloud Vector Database functionalities via the Model Context Protocol (MCP).
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Enables querying Adobe Analytics data from Claude Desktop using CData JDBC Drivers.
Enables Large Language Models (LLMs) to query live DocuSign data through a Model Context Protocol (MCP) interface by leveraging CData JDBC Drivers.
Manages Neo4j Sandbox instances and operations through a standardized Model Context Protocol (MCP) interface.
Transforms natural language queries into Cypher to retrieve information from a knowledge graph and provide contextual answers.
Provides enhanced semantic code search and deep context for AI coding agents with improved stability, faster synchronization, and reliable data persistence.
Provides an enterprise-grade MySQL server for AI-enabled IDEs, offering secure database management with OAuth 2.0 authentication and efficient connection pooling.
Enables AI assistants to browse, search, and query Finnish statistical data from Statistics Finland's StatFin database.
Enables AI agents to securely read and write data to an Atomic CRM instance via the Model Context Protocol (MCP).
Connects large language models to SQL databases securely, enabling natural language querying and schema exploration for AI agents.
Provides an asynchronous Model Context Protocol (MCP) server to integrate ArangoDB's graph database capabilities with AI assistants and development workflows.
Exposes PostgreSQL documentation as Model Context Protocol (MCP) tools and resources for AI agents.
Convert any existing API into an MCP server to expose as tools for AI clients.
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