pulsemcp Safe content atomic mcp-remote

Google Sheets

Provides Google Sheets automation capabilities through 25 specialized tools covering spreadsheet discovery, sheet management, and table operations including CRUD functionality, column type management, sorting, and cell manipulation. Built by Henil C Alagiya using Python and the Google Sheets API, the implementation offers comprehensive table-centric operations with structured data validation, batch processing capabilities, and compact JSON responses optimized for AI interactions. Features include table creation with typed columns and data validation rules, record management with flexible filtering, cell updates by notation or range, and advanced operations like dropdown option management and table sorting with automatic filter removal. Valuable for business automation workflows requiring structured data management, AI agents that need to maintain organized datasets in spreadsheets, and applications that require reliable Google Sheets integration with proper error handling and input validation.

Cognium trust score

65%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/henilcalagiya/google-sheets-mcp
Author type: human
Updated: 2026-05-22

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MCP

Resolve Google Sheets 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"