ai.windsor/windsor-mcp is an MCP server that query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai. Its tool list has not been published yet, requires no API key, and scores 59/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ai-windsor-windsor-mcp-windsor-ai": {
"args": [
"-y",
"@google/gemini-cli"
],
"command": "npx"
}
}
}Are you the author?
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Windsor MCP (Model Context Protocol) is a hosted MCP server that lets your AI assistant query, explore and analyze live business data from 325+ sources — Meta Ads, Google Ads, TikTok Ads, GA4, HubSpot, Salesforce, Shopify, Stripe, BigQuery, Snowflake and many more — with no SQL, no API keys, and no custom integrations. On connectors that support it, agents can also execute write actions — for example pausing or enabling ad campaigns and adjusting budgets on Meta Ads, Google Ads and TikTok Ads.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@google/gemini-cli' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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Gemini CLI: Remote Code Execution via workspace trust and tool allowlisting bypasses
# Summary Gemini CLI (`@google/gemini-cli`) and the `run-gemini-cli` GitHub Action are being updated to harden workspace trust and tool allowlisting, in particular when used in untrusted environments like GitHub Actions. This update introduces a breaking change to how non-interactive (headless) environments handle folder trust, which may impact existing CI/CD workflows under specific conditions. # Details Folder Trust in Headless Mode In previous versions, Gemini CLI running in CI environmen
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