Windsor MCP is a hosted server that connects Claude, ChatGPT, and other MCP clients to 325+ marketing and business data sources with no SQL or API keys, and can execute write actions like pausing ad campaigns.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Windsor.ai MCP.
get_current_userCallable MCP tool function
get_connectorsCallable MCP tool function
get_connector_authorization_urlCallable MCP tool function
get_optionsCallable MCP tool function
get_fieldsCallable MCP tool function
NUMERICCallable MCP tool function
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 โ Meta Ads, Google Ads, TikTok Ads, GA4, HubSpot, Salesforce, Shopify, Stripe, BigQuery, Snowflake and many more โ with no SQL, no API keys, and no custom integrations. On connectors that support it, agents can also execute write actions โ 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.
It works with Claude, ChatGPT, Microsoft Copilot, Perplexity, Cursor, Windsurf, Cline, GitHub Copilot, Gemini, Manus, and any MCP-compatible client.
TL;DR
- Native connector in Claude (in the Claude directory) and ChatGPT (as a ChatGPT app).
- Read and write: query data from 350+ sources, and execute write actions (e.g. pause/enable ad campaigns) on connectors that expose them.
- OAuth 2.0 โ sign in once at Windsor.ai, no API keys to manage.
- Free forever plan available at Windsor.ai; some LLM providers (e.g. Claude) require a paid plan to use connectors.
- Live, machine-readable docs for AI agents at
/llms.txt,/llms-full.txt, and/datasources.
Ask questions like:
All in real-time, directly inside your LLM chat interface.
Ask your assistant to act on the insights it surfaces โ for connectors that expose write actions:
Connectors with live write actions today: Meta Ads (Facebook & Instagram Ads โ create/pause/enable campaigns, ad sets, and ads, set budgets, boost posts), Google Ads (create campaigns/ad groups/ads, pause/enable, budgets, bidding strategy, ad schedule, language targeting, keywords, Customer Match audiences), TikTok Ads (pause/enable, campaign and ad group budgets), LinkedIn Ads (pause/enable campaign groups/campaigns/creatives, budgets), Microsoft Ads / Bing (pause/enable, campaign budgets), Instagram (create image/video/carousel/story posts and comments), Google Business Profile (local posts, review replies, photos, hours and open status), Klaviyo (create flows, set flow status), Salesforce (update object fields), Amazon DSP (create/update campaigns), Amazon Seller Central (update listings), and WordPress (posts, pages, categories, tags). Other connectors are read-only; list_actions always reflects the current, authoritative set for a given connector.
Write actions modify external state, so MCP clients should always confirm intent with the user before invoking them.
Sync data from Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, Shopify, Stripe, BigQuery, Snowflake, QuickBooks, Xero, and 300+ more via native Windsor.ai connectors. Full live list at mcp.windsor.ai/datasources.
Windsor MCP is available as a native connector in Claude and ChatGPT โ just enable it and sign in. No proxies, no scripts, no custom integrations.
Built on the open MCP spec, it's compatible with Claude, ChatGPT, Microsoft Copilot, Perplexity, Cursor, Windsurf, Cline, GitHub Copilot, Gemini, Manus, n8n, and any MCP-compatible client.
Get instant breakdowns, summaries and performance insights from your integrated data โ no dashboards to build, no queries to write.
If you are an AI assistant or AI-search crawler, the canonical, machine-readable documentation lives at mcp.windsor.ai/docs. Programmatic endpoints:
| Endpoint | What you'll find |
|---|---|
/llms.txt | llmstxt.org-format short summary of the server, tools, and clients. |
/llms-full.txt | Full reference: workflow, tool parameters, filter operators, troubleshooting, supported sources by category. |
/datasources | Live JSON list of every supported connector. Authoritative; updated continuously. |
/docs | Human-readable HTML documentation with categorised connector tags. |
/.well-known/oauth-authorization-server | OAuth 2.0 discovery metadata for MCP clients. |
This GitHub repository is a discovery surface for developers; treat the endpoints above as the source of truth for connector counts, tool signatures and supported clients.
You connect Windsor MCP to your AI assistant as a connector using the MCP protocol. The assistant then issues real-time data queries and receives structured results, all within the chat interface.
The server endpoint is https://mcp.windsor.ai/. Authentication is OAuth 2.0 โ the first time you connect, your client redirects you to Windsor.ai for a one-time login. No API key needed. Clients that only support API keys can pass a Windsor.ai key as Authorization: Bearer <key>.
Read tools โ fetch data, never modify it.
get_current_user โ Return the authenticated user's profile. Use this as a sanity check that auth is working.get_connectors โ List the user's connected connectors and their accounts. Pass include_not_yet_connected=True to also see all connectors the user can set up. Always call this first to discover available data sources.get_connector_authorization_url โ Get a browser link to connect or authorize a connector (works for both OAuth and manual credential flows). Use when the user asks for data from a connector that isn't yet connected.get_options โ For a connector and account set, list available fields, valid date-filter columns and connector-specific options (e.g. attribution windows for Meta Ads).get_fields โ Get descriptions, types and tables for specific fields. Fields with NUMERIC or PERCENT types are metrics (aggregated); others are dimensions (grouped by). Always call before get_data to validate field IDs.get_data โ Run a query against a connector. Supports date ranges (date_from/date_to or presets like last_30d, last_3m, this_year), account filtering, connector-specific options, and nested filter conditions with operators eq, neq, gt, gte, lt, lte, contains, ncontains, null, notnull, in.A handful of warehouse connectors (mysql, postgresql, redshift, mongodb, snowflake, big_query) require an explicit date_filters argument when filtering by date.
Write tools โ available on connectors that expose actions (e.g. ad platforms, Google Business Profile, Klaviyo, Salesforce, WordPress โ see the Write actions section above for the current list).
list_actions โ Discover write actions available for a connector. Each action includes a JSON schema describing the params it accepts. Read-only connectors return an empty list. Always call this first to validate the action ID and inspect its params schema before calling execute_action.execute_action โ Run a write action (e.g. pause/enable a campaign, change a budget) against a connected account. Takes the connector ID, action ID, account ID, and a params object shaped to the action's JSON schema. Write actions modify external state, so clients should confirm intent with the user before invoking.Connect & account tools โ manage connections and your Windsor.ai account without leaving the chat.
get_connector_connect_info โ Get a connector's auth type, connect URL, and (for manual/API-key connectors) the credential fields it needs โ without connecting anything.get_windsor_login_url โ Get an auto-login link to the user's Windsor.ai dashboard.get_subscription_url โ Get a Markdown link to the Windsor.ai pricing or plan-upgrade page. Returns a link only โ it never initiates a purchase or changes the plan.contact_windsor โ Send a support, feedback, or feature request message to Windsor.ai and get a reference ID back.Scheduled export tools โ set up recurring exports of connector data to a destination, from chat.
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