Magi Integrations: How Data, Agents, and Channels Connect Through One GTM Context Layer
How one shared GTM context turns disconnected tools into connected execution.

Vaishnavi Balachandran
Magi5 min

Quick answer
- Magi connects your marketing tech stack in four layers: data in, BrandOS, surfaces, and channels out.
- Live: Fathom, Gong, Slack, Notion, GitHub, Google Drive, and the web feed BrandOS. Claude reaches it through our MCP server. LinkedIn, WordPress, Sanity, and HubSpot take the output.
- Coming: Salesforce, Google Analytics, Ahrefs, Reddit, and G2 as signals; Figma and Adobe for design; Codex, Gemini, and team chat as surfaces; X, Highspot, Reply.io, Apollo, Outreach, and ads as channels.
- HubSpot today: publish emails and pages from Magi. Next: deals and contacts flow back.
- One context layer for GTM, used from wherever you work.
The Cost of Fragmented GTM Context
Marketing work rarely starts from one complete picture. Knowledge sits in docs, customer calls live elsewhere, CRM records sit with sales, and market signals arrive through yet more tools.
That fragmentation costs marketing teams: assets are shipped without holding the full picture causing them to go off-brand. And because that data still lives in separate tools, tracing marketing activity back to revenue stays harder than it should be.
One Layer Connects the Work
Magi is built as that unified GTM context layer: a marketing brain that helps teams see the whole picture, focus on the accounts and use cases that matter, and engineer execution toward revenue outcomes.
Your knowledge, calls, CRM records, and market signals all feed into a single brain that keeps learning. Every agent and every person works from the same shared context. And because the context sits in one place, it becomes the work: agents and Magi's experts turn what the brain knows into on-brand assets, published to the channels the team already runs.
All of this fits the stack a team already has. Magi reads from the CRM, the call recorder, and the tools you publish through, and shows up wherever you work: the Magi app, an assistant like Claude, team chat, or any tool that speaks MCP. Connect each tool once, and every agent and expert draws on the same context.
The Magi context layer
The ecosystem is designed as one flow: context comes in, becomes usable, travels to where people work, and carries finished work into the channels already in use.

| Layer | Role in the system | Connected tools and capabilities |
| Data | Sources feed the knowledge base and account picture, then sync into the context used across Magi. | Live: Google Drive, Notion, GitHub (beta), Web, Gong, Fathom, LinkedIn, Reddit, and marked Slack threads. Coming: Figma*, Adobe*, HubSpot source data*, Salesforce*, Google Analytics*, Ahrefs*, and G2*.*. |
| BrandOS | The complete GTM context, holding strategy, operations, governance, and outcomes in one marketing brain. | It holds market, ICP, personas, brand, product, campaigns, content, assets, calendar, ideas, accounts, analytics, and knowledge. CRM revenue analytics*, CRM deal stages in accounts*, and tasks* are coming. |
| MCP, Agents, and Concierge | This is how shared context becomes work: portable through MCP, executed by agents, and strengthened by experts. | Magi MCP takes Magi anywhere; Research, Ideation, Content, Competitive Intel, and Brand Audit agents do the work; Concierge experts step in where judgment is needed |
| Surfaces | Where people access the same governed context while working in Magi, AI assistants, or team communication tools. | Live: the Magi web app, Claude through Magi MCP, and Google Chat notifications. Coming: Codex*, Gemini*, Magi desktop*, and asking Magi from Slack*, Google Chat*, and Microsoft Teams*.*. |
| Channels | Where finished work is published, so execution reaches the systems teams already use to engage buyers and customers. | Live: LinkedIn personal profiles, Sanity websites, HubSpot CMS landing pages, WordPress blogs, and HubSpot newsletters and campaign emails. Coming: X*, sales email*, Highspot*, SalesLoft*, Salesforce*, Apollo*, Reply.io*, Instantly*, and paid LinkedIn*, Google*, and Meta*.*. |
Because every layer shares the same context, each connection you add makes the whole system sharper. A new call recording feeds the agents that write your content. A new channel learns from the brand the rest of the system already holds. Nothing you connect works in isolation.
Turn shared context into pipeline
Once the whole GTM team runs on one shared context, marketing and sales can work from one picture and aim at the same pipeline. Here is what that will look like as the coming integrations go live.
- Social strategy that ties back to accountsPosts will publish from Magi, and engagement will come back with names attached: who reacted, who commented, and their company. Marketing will get a list of named accounts engaging with its content, ready to pass to sales.
- ABM and demand generation across every channelAccount context from HubSpot* and Magi's research on a vertical will feed the Ideation Agent, which builds content ideas. Figma* and Adobe* integrations and your templates will turn those ideas into on-brand assets. One brief will then publish them across channels: landing pages and emails in HubSpot, the blog in WordPress or Sanity, LinkedIn posts, ABM sequences through Reply.io*, and sales collateral in Highspot*.
- Product marketing that keeps pace with the roadmapGitHub tracks merged PRs and releases, and Notion specs ground the detail. A weekly workflow drafts the release notes, and the Content Agent turns them into LinkedIn posts and a newsletter through HubSpot, grounded in what actually shipped.
- Weekly intel for your sales teamGong and Fathom calls, Google Drive docs, and web and Reddit sources feed the Competitive Intel Agent, which tracks each competitor weekly. The report on what changed and the objection to prepare for lands in your team's Google Chat, and anyone can ask Claude about a competitor mentioned on last week's calls without leaving the assistant they already work in.
We run Magi's own release notes, newsletter, and ABM on these connections
We run our marketing on these connections. Weekly release notes come from the GitHub integration. The newsletter is written in Magi and sent through HubSpot. Sales calls arrive through Fathom and feed the Competitive Intel Agent's weekly rival report. ABM sequences are written in Magi and sent through Reply.io
One OAuth login connects most integrations
Settings > Integrations. Each card shows what the tool reads or writes and whether it is connected. Fathom, Gong, Slack, Notion, HubSpot, and LinkedIn connect with one OAuth login. GitHub asks you to install the Magi app and pick repositories. Sanity takes a project ID and API token. Sources then sync; destinations appear in the editor's publish menu.
If a tool your team lives in is missing, tell us at the demo. Customer requests set the roadmap.
Bring your tool list to a demo
Book a demo and bring your tool list.
Already on Magi? Login and open Settings > Integrations.
Frequently asked questions
Can Claude read my Notion, Slack, GitHub, and Gong?
Through Magi, yes. Connect each tool once in Magi and its content lands in the knowledge base. The Magi MCP server gives Claude the same knowledge base with your team's permissions, so Claude can cite a Notion page, a Slack thread, a repo file, or a Gong call without a separate connector for each.
How is Magi different from HubSpot Breeze agents?
Breeze agents work inside HubSpot on CRM records and HubSpot content. Magi agents work on marketing context drawn from your whole stack, including calls, docs, code, and competitors, and publish the result into HubSpot. Most teams use both: HubSpot as the customer record, Magi as the marketing brain.
What is a MCP server?
A MCP server is a small program that gives an AI model tools it can call, like reading a file or adding a calendar entry. MCP is the open standard Claude and other models use to connect to outside systems.
Which tools does Magi integrate with?
Live today: Fathom, Gong, Slack, Notion, GitHub, Google Drive, and the web as sources; LinkedIn, WordPress, Sanity, and HubSpot as destinations; the Magi app and Claude as surfaces. Salesforce, Figma, Adobe, Google Analytics, Ahrefs, Codex, Gemini, Teams, X, Highspot, Reply.io, Apollo, and Outreach are on the roadmap.
How does the Magi HubSpot integration work?
Today, Magi publishes emails and pages into HubSpot. Next, HubSpot deals and contacts flow back into Magi's accounts and analytics.
Can I connect Gong and HubSpot, or Notion and HubSpot?
In Magi, yes. Gong calls and Notion pages feed BrandOS. Content built from them publishes into HubSpot Marketing Email and HubSpot CMS from the Magi editor. Deals and contacts flowing back from HubSpot are next.
Does the GitHub integration read my code?
It reads the repositories you choose. Files become knowledge assets, and pull requests and releases can feed a release-notes workflow.
What is the Magi MCP server?
An MCP server that gives Claude tools to read your brand, campaigns, calendar, content, and knowledge base in Magi, and to reach any tool connected to it. It uses the same permissions your team has in the app.