Windsor.ai vs Composio: Marketing Data or Agent Tools
By Joris van Huët
Enterprise Interim CMO & Marketing Leader · 15+ years · 50+ orgs
Published
2026-10-26
The short answer: both give an AI agent MCP access to Google Ads, Meta Ads and GA4, which is why they get compared; they are built for different jobs. If the agent's job is reading marketing performance across channels, with history and a copy in Sheets or BigQuery, Windsor.ai Basic at $19 a month billed annually is the fit; if the agent must act across many apps, Slack, HubSpot and Gmail as well as the ad platforms, inside your own workflow or product, Composio's free Hobby plan covers 100,000 tool calls a month and Pro costs $29 (checked on 26 October 2026 on the Windsor.ai and Composio pricing pages). Composio today describes itself as giving Claude, Codex or any agent harness secure access to 1,500+ tools, with SDKs, authentication and a managed MCP gateway (Composio homepage); Windsor.ai is a no-code data integration platform for 350+ sources (Windsor.ai homepage).
Disclosure: I may earn a commission through some links on this site. It does not change what this page says.
Before you wire an agent to either:
- Count calls, not seats. For example, an agent that makes 6 tool calls per question and answers 40 questions on each of 22 working days uses 6 x 40 x 22 = 5,280 calls a month, 5.28% of Composio Hobby's 100,000. Past the free amount, Pro bills $0.0003 a call, so another 100,000 calls cost 100,000 x $0.0003 = $30 (Composio pricing). Windsor.ai does not bill per call; its API allows 600 requests a minute and 10,000 a day (Windsor.ai pricing FAQ).
- Start from where the answer has to land. If it belongs in a report, a sheet or a warehouse you already keep, Windsor.ai delivers there. If it becomes a Slack message, a CRM update or a feature in your own product, Composio's toolkits are the shorter road.
- Decide the check before the first prompt. For the first month, compare every spend figure the agent gives with the ad manager, and count corrections per week. A number that does not fall is a brief to rewrite.
Layer by layer
| Layer | Windsor.ai | Composio |
|---|---|---|
| What it is | Data integration from 350+ platforms into BI tools, sheets, warehouses and AI chats | Tools and authentication for agents, through SDKs, a CLI and an MCP gateway |
| Marketing coverage | Google Ads, Meta Ads, GA4, Shopify and more, with public field lists | Toolkits including Google Ads with 36 tools, Meta Ads with 70 and Google Analytics with 67 |
| Where results go | Sheets, Data Studio, BigQuery, Snowflake, Power BI, Claude, ChatGPT and others | Into the agent, which decides what to do with them |
| History | Up to 10 years on paid plans, backfills into destinations | Calls the app's API when the agent asks |
| Changes on platforms | 137 write actions across 19 connectors, each confirmed first | Mutate tools for campaigns, budgets and ads in the Google Ads toolkit |
| What you pay for | Data sources and accounts | Tool calls and trigger events |
| No-cost start | 30 days with 10 sources, then 1 source and 1 account | Hobby: 100,000 tool calls, 50,000 triggers, 3 team members |
From Windsor.ai's pricing page, answers page and write actions list, and Composio's pricing page and toolkit pages for Google Ads, Meta Ads and Google Analytics.
Where they part
Data with a shape, or tools with a scope
Windsor.ai hands the agent marketing data already named and mapped: every connector has a field list, the Blended Data connector returns several sources in one table, and in Claude the assistant can query every available field without setup (answers page). Composio hands the agent the platform's own operations as tools. For Google Ads that includes a reporting template tool and a GAQL query tool beside more than twenty tools that create, update or remove campaigns, budgets, ad groups and ads (Google Ads toolkit). The first suits a question about performance. The second suits an action, and leaves the agent to assemble a cross-channel view itself.
Whose accounts get connected
Composio's documentation offers two paths: Platform, for adding Composio into your own agent or app, and For You, for using it with agents you already run (Composio docs), and its pricing counts each user's authorised account as a connected account, unlimited and free (pricing page). Windsor.ai is built for a marketing team's own and its clients' accounts, with an authorisation link for clients and unlimited users on paid plans (pricing page). One is infrastructure for a product. The other is a tool for a department.
What the bill follows
Windsor.ai's bill follows the platforms and accounts you report on, however often the agent asks. Composio's follows tool calls and delivered trigger events, with a hard cap on Hobby (pricing page). A chatty agent is free on one and metered on the other; a sprawling client list is the reverse.
Prices on 26 October 2026
Windsor.ai, from its pricing page: Basic $19 a month billed annually or $23 monthly, Standard $99 or $118, Plus $249 or $299, Professional $499 or $598, Enterprise on quote. Every plan, the free one included, has the MCP server with read and write functions.
Composio, from its pricing page: Hobby $0 with 100,000 tool calls and 50,000 triggers a month; Pro $29 a month including $29 of usage credit, then $0.0003 per tool call and $0.003 per trigger event; Enterprise custom. The page notes that this pricing applies to sign-ups from 15 August 2026.
Choosing by the work
Choose Windsor.ai if your job is answering performance questions across Google Ads, Meta Ads, GA4 and the rest, with history, from Claude or ChatGPT, and keeping the same numbers in Sheets, Data Studio or BigQuery for colleagues who never open a chat.
Choose Composio if your job is an agent that acts across many apps, such as posting the week's numbers in Slack, updating HubSpot and changing a campaign, or an AI feature in your own product where customers connect their own accounts.
They also combine. Composio's pricing page lists bringing your own MCP servers alongside its catalogue on every plan, so one agent can read marketing data through Windsor.ai's server and post the result through Composio's Slack tools.
Composio's quickest start is its managed OAuth apps, which skip the app setup. The pricing page calls them not recommended for scaling: they come with 20,000 free tool calls a month instead of 100,000, then add $0.0002 to every call, so the setup that gets an agent running in a minute is also the one that starts billing first.
A reporting agent that cannot spend
Composio lets you build an MCP server scoped to one toolkit, with an allowed_tools list that names exactly which tools the server exposes (single-toolkit MCP). For a weekly spend summary, list only the Google Ads reporting template and GAQL query tools, and leave every mutate tool out. On Windsor.ai, the equivalent is connecting the ad account with a read-only or reporting login, so the platform rejects any write request (answers page). Either way, the agent drafts the summary and the paid media lead compares each figure with Google Ads before it is shared.
When the agent is the project
Sometimes the hard part is not the connector but deciding what the agent may do, who checks it and where its output goes. That is design work across a stack and a team, and it is what the agentic marketing work I sell covers.
The Windsor.ai entry has its plans in full, and the weekly report use case builds a Windsor.ai agent in n8n with an approval step.
FAQ
Can one agent use both Windsor.ai and Composio?
Yes. Composio lists custom tools and your own MCP servers alongside its catalogue on every plan (pricing page), so Windsor.ai's MCP server can sit next to Composio's toolkits in one agent.
Is Windsor.ai's MCP server paid separately?
No. Windsor.ai includes MCP access, with read and write functions, on every plan, the free one too (pricing page).
What happens when Composio's free tool calls run out?
On Hobby, usage pauses at the cap with no charge until the next month or an upgrade. On Pro, calls keep running at the overage rate, and spend caps set a ceiling (pricing page).
ABOUT THE AUTHOR
I am Joris van Huët, an enterprise interim CMO. 15+ years, 50+ organizations, including ING, P&G, Nestlé, BNP Paribas, WeTransfer and Vinted. I take on innovation projects (venture building, design sprints), agentic marketing (setting up and running AI agents) and hands-on multi-channel work. See the track record.
I wrote and published this with AI assistance, and I answer for it. Claims about my own experience are limited to the track record above, and a statistic links to its source or is labelled as an example. I sell interim and fractional CMO work, which is why this site exists. How this site is written.
A senior operator doing the work: campaigns, channels, CRM and AI agents, live from day one.