BigQuery MCP server

Enables Large Language Models to access and query Google BigQuery datasets securely via Model Context Protocol, supporting read-only SQL execution, dataset and table metadata retrieval, query cost estimation, and flexible authentication options.

Provides read-only Model Context Protocol access to MongoDB databases, enabling large language models to inspect collection schemas, execute aggregation pipelines with safety limits, and retrieve detailed query execution plans.

Provides Model Context Protocol access to Lark Bitable, enabling users to list tables, describe table schemas, and execute SQL queries for seamless interaction with Bitable data.

Enables seamless, secure natural language querying of BigQuery data through the Model Context Protocol, allowing AI models to run SQL queries, explore schemas, and analyze datasets with read-only access and easy integration.

Enables natural language interaction with Neon Postgres databases via the Model Context Protocol, allowing seamless database management, project creation, querying, and migrations without SQL or direct API use.