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Use AI to read, update, and manage Google Sheets via gogcli.
This MCP tool comes from an official registry and is open source, with no clear high-risk red flags. However, it requires account-related environment variables, executes code locally, and lacks documentation, so its actual network and data access boundaries are not fully clear and should be used with caution.
The materials indicate required environment variables GOG_ACCOUNT and GOG_PATH. GOG_ACCOUNT may relate to account identity or access configuration and should be treated as sensitive, while GOG_PATH may also reveal local directory structure. No further credential-handling details are provided, so there is a normal risk of leakage or misconfiguration.
The remote endpoint field says 'none', but the description claims it can read, write, and manage Google Sheets, which normally implies communication with relevant online services. The materials do not disclose concrete target domains, transmitted content, or data egress scope, so the boundary is unclear, though there is no explicit red flag showing exfiltration to unrelated or unknown endpoints.
The system checks explicitly mark executes-code, indicating the tool can start local processes or execute code on the host. This is a normal MCP capability and should be run with least privilege. The provided materials do not show requests for system privileges clearly beyond its stated functionality.
GOG_PATH suggests it may access a specified local path, and its stated spreadsheet read/write/manage functions imply handling user-provided data. Because documentation is missing, it is unclear whether access is limited to a specific directory or could extend more broadly to local files, so the data access scope warrants caution.
Positive factors include being listed in an official registry, being open source, and having updates within the last year, all of which lower supply-chain risk. Points to watch are the missing README, undeclared license, and very low community adoption (0 stars), which weaken audit context and maturity signals, making 'caution' more appropriate than 'risk'.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.chrischall/gogcli-mcp" MCP server from askskill: Run: claude mcp add 'io-github-chrischall-gogcli-mcp' -- npx -y gogcli-mcp
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