Windsor.ai MCP
Overview
Description from the maker (original English)
Query and analyze marketing, sales, and business data from 325+ platforms via Windsor.ai.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: SSE
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://mcp.windsor.ai/sseRun this in your terminal
claude mcp add --transport sse windsor https://mcp.windsor.ai/sseOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"windsor": {
"url": "https://mcp.windsor.ai/sse"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"windsor": {
"type": "sse",
"url": "https://mcp.windsor.ai/sse"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://mcp.windsor.ai/sseMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain windsor.ai (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3632 servers in this category
- Published to the registry more recently than 3% of the other 3632 servers in this category
- Basic checks equal to or better than 100% of the other 3632 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Windsor.ai MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 8 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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](https://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.
🎯 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 .
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=Trueto 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
NUMERICorPERCENTtypes are metrics (aggregated); others are dimensions (grouped by). Always call beforeget_datato validate field IDs. - `get_data` — Run a query against a connector. Supports date ranges (
date_from/date_toor presets likelast_30d,last_3m,this_year), account filtering, connector-specific options, and nested filter conditions with operatorseq,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
paramsobject 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
| Client | How to install | Auth | Setup time |
|---|---|---|---|
| Claude (Desktop, Web, Code) | One-click install — listed in the Claude directory · setup guide | OAuth 2.0 | ~30 seconds |
| ChatGPT | One-click install — listed as a ChatGPT app · setup guide | OAuth 2.0 | ~30 seconds |
| Microsoft Copilot | Windsor.ai Power Platform connector — see integration guide | API key | ~5 minutes |
| Perplexity | See setup guide | OAuth 2.0 | ~1 minute |
| Claude Code | claude plugin install windsor-ai — source, with slash commands and an analyst agent | OAuth 2.0 | ~1 minute |
| Cursor | windsor-ai/windsor-ai-cursor-plugin, or paste the config below · setup guide | OAuth 2.0 | ~1 minute |
| Manus | Add https://mcp.windsor.ai/ as an MCP server — see [integration guide](https://windsor.ai/documentation/windsor-mcp/how-to-integrate-dat
Only the beginning is shown; read the rest in the repo