Windsor
Windsor MCP enables your LLM to query, explore, and analyze your full-stack business data integrated into Windsor.ai with zero SQL writing or custom scripting.
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Overview
Windsor MCP (Model Context Protocol) is a hosted MCP server that lets your AI assistant query, explore and analyze live business data from 350+ 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 creating and managing campaigns and budgets on Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, and Microsoft Ads (Bing); publishing Instagram posts; managing Google Business Profile listings and reviews; updating Klaviyo flows and Salesforce records; and more.
Installation
npm install -g @google/gemini-cli
Configuration
{
"mcpServers": {
"windsor": {
"url": "https://mcp.windsor.ai/"
}
}Capabilities
- Query marketing data
Ask for campaign performance, ROAS, or spend breakdowns across 350+ sources using `get_data` with natural language.
- Discover available connectors
Use `get_connectors` to list connected accounts or explore all setup options with `include_not_yet_connected=True`.
- Execute write actions
Pause underperforming ad campaigns or adjust budgets via `execute_action` on supported platforms like Meta Ads or Google Ads.
- Inspect queryable fields
Validate field IDs and types with `get_fields` before running reports to ensure accurate data pulls.
- Schedule recurring exports
Set up automated data exports to destinations like BigQuery or Google Sheets using `create_destination_task`.
- Manage connections
Generate authorization links with `get_connector_authorization_url` or fetch dashboard access via `get_windsor_login_url`.
Tags
- analytics
- marketing
- data-analysis
- business-operations
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