Google Sheets Analytics
TNTM Google Sheets Analytics MCP Server enables AI assistants to analyze Google Sheets data through natural language queries by syncing spreadsheet content to a local SQLite database and providing SQL query capabilities. The implementation features intelligent caching with change detection, rate limiting for Google Sheets API calls, and support for cross-sheet JOINs, allowing users to perform complex data analysis across multiple tabs without manual data export. Built with performance optimization including debouncing for frequent changes and batch synchronization, it's particularly valuable for business analysts and data professionals who need to query and analyze spreadsheet data programmatically while maintaining real-time access to updated information.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Google Sheets Analytics from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.