"React Query" matching MCP servers:

Enables AI agents to read and query Excel files stored in SharePoint and OneDrive for Business, converting permission-matrix spreadsheets into structured JSON for automated QA workflows.

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

Enables secure, read-only access to Firebase Firestore collections and Storage buckets for Digital Asset Management systems. It allows users to query assets, versions, and comments, and search storage files using flexible filters through standard MCP tools.

Enables AI agents to query MySQL, ClickHouse, Trino, and S3-compatible object stores through the same local daemon used by VSCode, including running SQL from files and browsing buckets.

Enables interaction with Autodesk ACC (Autodesk Construction Cloud) through the APS toolkit, allowing users to query hubs, projects, files, and versions via natural language through Claude Desktop.

Enables AI agents to query S3 data lakes using natural language, with support for CSV, JSON, Parquet and tools for data discovery, analysis, and metadata exploration.

Enables searching, retrieving, and managing files in Google Drive using a service account. Supports file search with query syntax, metadata retrieval, folder operations, file moving, and folder creation.

Enables AI assistants to search, read, and query handwritten notes backed up as PDFs on Google Drive via MCP, with OAuth authentication, multi-user support, and usage metering.

Enables AI agents to query Neo4j graph databases and Box document storage using natural language through a single MCP endpoint.

Enables Claude Desktop to securely query client workload telemetry from Azure Blob Storage and compute cloud modernization TCO assessments with AI token cost economics.

MCP server that exposes Wasabi cloud storage's Stats API bucket utilization data as a tool, enabling users to query storage and API call metrics for all buckets.

Enables AI assistants to search, query, and manage ocean/environmental datasets from the Oceanum platform, and to read, write, and delete files in Oceanum cloud storage.