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Enables CData Connect Cloud integration with Claude Desktop by acting as an MCP server.
Enables Claude to interact with and manage AWS resources such as S3 buckets and DynamoDB tables.
Exposes Parquet data as a Model Context Protocol (MCP) server, enabling LLMs to query it using natural language.
Connects agents to Elasticsearch data, enabling natural language interaction with indices through the Model Context Protocol.
Enables querying live Smartsheet data from Claude Desktop using CData JDBC Drivers.
Enables AI agents to seamlessly read, search, and intelligently modify Google Sheets data, specializing in high-performance cell update functionality.
Exposes PostgreSQL databases as Model Context Protocol resources and tools via HTTP and Stdio transports.
Exposes Databricks Unity Catalog metadata and data to AI agents in a deterministic, LLM-friendly format.
Enables AI models like Claude to interface directly with MySQL databases via the Model Context Protocol.
Connects multiple MySQL and MariaDB databases through a single Model Context Protocol (MCP) server, offering secure and AI-native access for coding assistants.
Provides a standalone Model Context Protocol server for persistent AI agent memory, including knowledge graphs, conversation history, and task tracking.
Provides a PostgreSQL MCP server that offers tools to run queries, list tables, describe schema, explain queries, and run migrations via standard I/O.
Enables AI assistants to explore, query, and analyze PostgreSQL, MySQL, SQLite, and MongoDB databases using natural language.
Manages PostgreSQL databases tailored for AI agents, providing tools for provisioning, querying, and schema evolution without complex setup.
Ensures AI assistants generate Next.js and Supabase code using the efficient `next-supa-utils` library.
Securely integrates AI assistants like Claude with Italian legacy databases and ERP systems, providing read-only access with PII masking and semantic mapping for GDPR compliance.
Empower AI agents with persistent, searchable memory using PostgreSQL and pgvector, ensuring they can recall facts, prompts, and documents across sessions.
Provides access to Metal-Organic Framework databases, isotherms, and structural data via the Model Context Protocol.
Empowers AI agents to automatically discover MongoDB schemas and execute queries, aggregations, and CRUD operations using natural language.
Provides a standardized interface for AI agents to interact with ClickHouse databases securely.
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