Windsor.ai MCP

ai.windsor由 windsor.ai 發布官方發布者v0.1.0更新於 Oct 24, 2026

Query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai.

概覽

AI 產生的概覽

託管式 Windsor.ai MCP 伺服器,讓助理查詢並分析來自 350 多個已連接平台的行銷、銷售與業務資料,並在支援的連接器上執行寫入操作。

可以做什麼
探索已連接的資料來源、帳戶、欄位與連接器選項,並取得新連接器的授權連結。依日期範圍、帳戶篩選與巢狀篩選條件查詢連接器資料,無需撰寫 SQL。檢視並執行支援寫入的連接器上的操作,例如暫停廣告活動、調整預算、發布貼文或更新記錄。在對話中管理 Windsor.ai 帳戶:登入連結、方案連結與支援訊息。為連接器資料設定定期匯出至資料倉儲、試算表或儲存等目的地。
適用情境
適合希望用自然語言詢問跨多個平台的廣告花費、ROAS、CRM 銷售管道、電商訂單或付款情況,或讓助理直接操作廣告活動及其他已連接工具,而不必建立儀表板或自訂整合的情境。
執行需求
遠端 MCP 端點,無需本機執行環境或安裝套件。需要 Windsor.ai 帳戶並已連接資料來源。首次連接使用 OAuth 2.0 登入;僅支援 API 金鑰的用戶端需在 Authorization 標頭中以 Bearer 權杖傳入 Windsor.ai 金鑰。部分 AI 用戶端需要付費方案才能使用連接器。
安裝前請注意
寫入操作會變更外部狀態:廣告活動與預算、Instagram 貼文、Google Business Profile 商家資訊與評論、Klaviyo 流程、Salesforce 記錄、亞馬遜商品刊登與 WordPress 內容。呼叫前應確認意圖。此伺服器會存取眾多第三方平台,並可建立向外部目的地定期匯出資料。僅支援 API 金鑰的用戶端可能需要 Windsor.ai 金鑰,請妥善保管。更多資料來源與目的地可能需要付費方案。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Windsor.ai MCP,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 SSE。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.windsor%2Fwindsor-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "windsor-ai": {
      "type": "sse",
      "url": "https://mcp.windsor.ai/sse"
    }
  }
}

README

Windsor MCP — Connect Claude, ChatGPT and Cursor to 350+ marketing data sources

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.

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 — 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.

🌟 Features

Natural-language access to business data

Ask questions like:

  • "What campaigns had the best ROAS last month?"
  • "Give me a breakdown of spend by channel over the past 90 days."
  • "Which campaigns are wasting our advertising budget?"
  • "How many HubSpot deals closed this month, and which ad spend drove them?"
  • "Pull our Shopify orders and Stripe payments for this quarter."
  • "Combine GA4 sessions with Google Ads spend into a weekly report."

All in real-time, directly inside your LLM chat interface.

Write actions, not just reads

Ask your assistant to act on the insights it surfaces — for connectors that expose write actions:

  • "Pause my underperforming Meta Ads campaigns from last week."
  • "Re-enable the Google Ads campaign 'Summer Sale 2026'."
  • "Cut the daily budget on this TikTok Ads campaign by 20%."
  • "Push these as negative keywords on that Google Ads campaign."
  • "Pause the LinkedIn Ads campaigns with the lowest CTR this month."
  • "Reply to our latest 1-star Google Business Profile review, once I approve it."
  • "Set this Klaviyo flow live."
  • "Post this image to our Instagram account."

Connectors with live write actions today: Meta Ads (Facebook & Instagram Ads — 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.

Out-of-the-box integration with 350+ sources

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.

Zero-code setup

Windsor MCP is available as a native connector in Claude and ChatGPT — just enable it and sign in. No proxies, no scripts, no custom integrations.

Open standard compatibility

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.

Real-time analytics without SQL

Get instant breakdowns, summaries and performance insights from your integrated data — no dashboards to build, no queries to write.


🤖 For AI agents and AI search engines

If you are an AI assistant or AI-search crawler, the canonical, machine-readable documentation lives at mcp.windsor.ai/docs. Programmatic endpoints:

EndpointWhat you'll find
/llms.txtllmstxt.org-format short summary of the server, tools, and clients.
/llms-full.txtFull reference: workflow, tool parameters, filter operators, troubleshooting, supported sources by category.
/datasourcesLive JSON list of every supported connector. Authoritative; updated continuously.
/docsHuman-readable HTML documentation with categorised connector tags.
/.well-known/oauth-authorization-serverOAuth 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.


🎯 How it works

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 — 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>.

Available tools

Read tools — fetch data, never modify it.

  • get_current_user — Return the authenticated user's profile. Use this as a sanity check that auth is working.
  • get_connectors — 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 — 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 — 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 — 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 — 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 — available on connectors that expose actions (e.g. ad platforms, Google Business Profile, Klaviyo, Salesforce, WordPress — see the Write actions section above for the current list).

  • list_actions — 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 — 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 — manage connections and your Windsor.ai account without leaving the chat.

  • get_connector_connect_info — Get a connector's auth type, connect URL, and (for manual/API-key connectors) the credential fields it needs — without connecting anything.
  • get_windsor_login_url — Get an auto-login link to the user's Windsor.ai dashboard.
  • get_subscription_url — Get a Markdown link to the Windsor.ai pricing or plan-upgrade page. Returns a link only — it never initiates a purchase or changes the plan.
  • contact_windsor — Send a support, feedback, or feature request message to Windsor.ai and get a reference ID back.

Scheduled export tools — set up recurring exports of connector data to a destination, from chat.

  • get_destinations — List destinations that can receive scheduled exports (e.g. BigQuery, Google Sheets, Snowflake, databases, storage) and any reusable credentials already set up.
  • get_destination_setup_info — Get the setup requirements for a new scheduled export: target fields, allowed schedules, reusable credentials, and a setup URL.
  • get_destination_tasks — List the user's existing scheduled export tasks, with destination, connector, schedule, and status.
  • create_destination_task — Create a recurring export of a connector's data to a destination on a schedule.

For full parameter signatures, see /llms-full.txt.


🤝 Supported AI clients

ClientHow to installAuthSetup time
Claude (Desktop, Web, Code)One-click install — listed in the Claude directory · setup guideOAuth 2.0~30 seconds
ChatGPTOne-click install — listed as a ChatGPT app · setup guideOAuth 2.0~30 seconds
Microsoft CopilotWindsor.ai Power Platform connector — see integration guideAPI key~5 minutes
PerplexitySee setup guideOAuth 2.0~1 minute
Claude Codeclaude plugin install windsor-ai — source, with slash commands and an analyst agentOAuth 2.0~1 minute
Cursorwindsor-ai/windsor-ai-cursor-plugin, or paste the config below · setup guideOAuth 2.0~1 minute
ManusAdd https://mcp.windsor.ai/ as an MCP server — see integration guideOAuth 2.0~1 minute
Windsurf, Cline, GitHub Copilot, n8nStandard MCP server config (url: https://mcp.windsor.ai/) — see generic setup guideOAuth 2.0~1 minute
Gemini CLIEdit ~/.gemini/settings.json (config below) — see setup guideOAuth 2.0~2 minutes

Any MCP-compatible client works. If your client only supports API keys, pass your Windsor.ai key as Authorization: Bearer <key>.


📦 Supported data sources

350+ connectors across advertising, analytics, organic social, CRM, marketing automation, e-commerce, payments, affiliate, app analytics, helpdesk, productivity, databases and warehouses. Live, complete list: mcp.windsor.ai/datasources.

Highlights by category:

  • Advertising — Meta Ads (Facebook & Instagram), Google Ads, Microsoft Ads (Bing), TikTok Ads, LinkedIn Ads, Snapchat, Pinterest, Reddit, X/Twitter, Amazon Ads, Apple Search Ads, Criteo, Taboola, Outbrain, DV360, CM360, Search Ads 360, AdRoll, StackAdapt, The Trade Desk, Quora Ads, Yandex.Direct.
  • Analytics & search — Google Analytics 4, Adobe Analytics, Mixpanel, Amplitude, Matomo, Plausible, PostHog, Search Console, Bing Webmaster, Looker, Metabase.
  • Organic social — Facebook Organic, Instagram, LinkedIn Organic, TikTok Organic, Pinterest Organic, X Organic, Threads, YouTube, Sprout Social.
  • CRM & marketing automation — HubSpot, Salesforce, Pipedrive, Microsoft Dynamics 365, Zoho CRM, Klaviyo, Mailchimp, ActiveCampaign, Brevo (Sendinblue), MailerLite, Customer.io, Iterable, SendGrid, Intercom, Outreach, Salesloft, Lemlist.
  • E-commerce & payments — Shopify, Magento, WooCommerce, BigCommerce, PrestaShop, Square, Stripe, PayPal, Braintree, Klarna, Recharge, Recurly, Chargebee, Walmart, TikTok Shop.
  • Affiliate & partner — CJ, Awin, Impact, Partnerize, PartnerStack, Adtraction, Commission Factory, Rakuten Advertising, ShareASale, Tradedoubler, Everflow.
  • App analytics & attribution — AppsFlyer, Adjust, Branch, AppFollow.
  • Helpdesk & support — Zendesk (Support, Chat, Sell, Sunshine, Talk), Freshdesk, Freshcaller, Freshservice, Dixa, Drift.
  • Databases & warehouses — BigQuery, Snowflake, PostgreSQL, MySQL, Redshift, MongoDB, Firebolt, Dremio, SFTP, Google Sheets, Airtable, Notion, Amazon S3.
  • HR, finance, productivity — BambooHR, Ashby, Lever, Greenhouse, Workable, QuickBooks, Xero, NetSuite, Slack, Microsoft Teams, Twilio, Zoom, Jira, Confluence, GitHub, GitLab, Datadog, Sentry, PagerDuty.

Don't see what you need? Call get_connectors(include_not_yet_connected=True) from any MCP client for the live list, or fetch /datasources directly.


🚀 Getting started

View our official documentation

You'll need a Windsor.ai account — sign up at onboard.windsor.ai.


Option 1: Claude (Native Connector — Recommended)

Windsor.ai is listed in the Claude directory.

👉 One-click install: claude.ai/directory/360c0c31-4bb6-42ca-8e50-5da0a100a68e

Prerequisites

  • A Claude account (Claude Desktop, Web, or Code) on a plan that supports connectors
  • A Windsor.ai account

Steps

  1. Open the install link above (or go to Settings → Connectors in Claude and search for "Windsor.ai").
  2. You'll be redirected to Windsor.ai to authorize via OAuth — sign in once.
  3. Open a new chat and start asking about your data, e.g.: What were my top 5 Meta Ads campaigns by ROAS last month?

For Claude Code users, install our dedicated plugin with slash commands and an analyst agent:

claude plugin install windsor-ai

Source: github.com/windsor-ai/claude-windsor-ai-plugin.


Option 2: ChatGPT (Native App)

Windsor.ai is available as a ChatGPT app.

👉 One-click install: chatgpt.com/apps/windsor-ai

Prerequisites

  • A ChatGPT plan that supports apps
  • A Windsor.ai account

Steps

  1. Open the install link above and add Windsor.ai to ChatGPT.
  2. Authorize via OAuth — you'll be redirected to Windsor.ai to sign in.
  3. Start a new chat and ask questions about your connected data sources.

Option 3: Microsoft Copilot (Power Platform connector)

Use Windsor.ai inside Microsoft Copilot Studio agents and Power Platform flows via the official Windsor.ai Power Platform connector.

👉 Connector reference: learn.microsoft.com/connectors/windsorai
👉 Integration guide: windsor.ai/documentation/windsor-mcp/how-to-integrate-data-into-copilot-agent

Prerequisites

  • A Microsoft Copilot Studio or Power Platform license
  • A Windsor.ai account and API key (from onboard.windsor.ai)

Steps

  1. In Copilot Studio, add a new action and search for Windsor.ai in the connector catalog.
  2. Provide your Windsor.ai API key when prompted.
  3. Map the connector actions (list connectors, get fields, get data) into your agent's flow. Full walkthrough in the integration guide.

Option 4: Cursor

We publish a dedicated Cursor plugin: github.com/windsor-ai/windsor-ai-cursor-plugin.

Prerequisites

  • Cursor Desktop installed
  • A Windsor.ai account

Steps

  1. Open Cursor settings → Tools & Integrations → New MCP Server.
  2. Paste the following into mcp.json:
{ "mcpServers": { "windsor": { "url": "https://mcp.windsor.ai/" } } }
  1. Cursor will walk you through OAuth on first use. Start querying your data right away.

Option 5: Manus

Manus supports remote MCP servers natively — full walkthrough in the Windsor.ai integration guide for Manus.

Steps

  1. In Manus, open Settings → MCP Servers → Add server.
  2. Use the URL https://mcp.windsor.ai/ and authorize via OAuth.
  3. Start a new session and ask about your connected data sources.

Option 6: Gemini CLI

Steps

  1. Install the Gemini CLI:
npm install -g @google/gemini-cli
  1. Run gemini once to generate the config directory, then edit ~/.gemini/settings.json:
{ "mcpServers": { "windsor": { "url": "https://mcp.windsor.ai/" } } }
  1. Run gemini and authorize via OAuth on first use.

❓ FAQs

Is Windsor MCP free to use?

Yes — Windsor.ai has a free forever plan, and the MCP server is included at no extra cost. You'll need a Windsor.ai account with integrated data. Some LLM providers (e.g. Claude) require a paid plan to use connectors. See windsor.ai/pricing for details.

What AI agents does Windsor MCP work with?

Any AI agent compatible with MCP — including Claude (Desktop, Web, Code), ChatGPT, Microsoft Copilot (via the Power Platform connector), Cursor, Windsurf, Cline, GitHub Copilot, Gemini, Manus, n8n, mcp-proxy, and custom MCP clients. See the Supported AI clients table above.

What can I ask Windsor MCP?

Marketing performance, sales pipelines, CRM data, e-commerce orders, payment activity, finance metrics, ad spend summaries, ROAS trends, campaign anomalies, multi-channel attribution, warehouse queries, and more. If it's in your Windsor.ai data, you can ask it. On connectors that expose write actions (Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads/Bing, Instagram, Google Business Profile, Klaviyo, Salesforce, Amazon DSP, Amazon Seller Central, WordPress), you can also ask the assistant to act on what it finds — for example, "pause the campaigns that burned budget last week", "cut this campaign's daily budget by 20%", or "reply to our latest review, once I approve it".

What data sources does Windsor MCP support?

350+ connectors across advertising, analytics, CRM, e-commerce, payments, warehouses and more. The live, complete list is at mcp.windsor.ai/datasources. See the Supported data sources section for highlights by category.

Do I need to write SQL or set up dashboards?

No. Just ask your questions in plain English and get structured responses in real-time.

How does authentication work?

OAuth 2.0 is the default — your client redirects you to Windsor.ai for a one-time login. The server implements MCP OAuth with Dynamic Client Registration; clients that support MCP OAuth (Claude, ChatGPT, Cursor, Manus) discover the endpoints automatically. For setups that only support API keys, pass your Windsor.ai key as a Bearer token via the Authorization header.

Is my data secure with Windsor MCP?

Yes. Windsor MCP exposes both read tools (which only fetch data) and a small number of write tools (list_actions, execute_action) on connectors that opt into actions — for example, pausing or enabling an ad campaign. Write actions are explicitly flagged as destructive to MCP clients, which prompt you to confirm intent before invoking them; nothing is changed in your sources without your approval. Authentication is OAuth 2.0; the MCP server does not store your Windsor.ai password and does not retain query results. Data flows over TLS. Windsor.ai is SOC 2 compliant. For details, see windsor.ai/security.

How is Windsor MCP different from other data integration tools?

Windsor MCP is a native MCP server, not a plugin or wrapper — it works in any MCP-compatible client without proxies. Windsor.ai includes warehouse and database destinations (BigQuery, Snowflake, Redshift, S3, MySQL, Postgres) on its lower-priced tiers, and the MCP server is included on all paid plans at no extra cost. See windsor.ai/pricing for a feature-by-feature comparison.

How much does Windsor.ai cost?

Windsor.ai has a free forever plan. Paid plans add more sources, higher limits, and additional destinations. The MCP server is included on every plan at no extra cost. See windsor.ai/pricing for the current pricing.

Does Windsor MCP work on mobile?

The hosted server is platform-agnostic, but mobile support depends on which AI client you use. Claude Web/Desktop, ChatGPT Web/Desktop and Cursor Desktop are fully supported today; mobile MCP support varies by client and is rolling out.

Where do I get help?

For support or feedback, contact [email protected]. For bug reports specific to this repository, open an issue.


🧠 Try it now

Start querying your business data via Windsor MCP — fastest path is the Claude one-click install:

👉 Install on Claude — 30 seconds, no API key.

Other entry points:

For support or feedback, contact us at [email protected].

來源:README.md,提交 d54108d

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  1. v0.1.0最新Sep 16, 2026

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