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Kajabi

Kajabi MCP Server

Yes. Kajabi has a community-built MCP server, hosted at github.com/nerraaiAssistantBot/kajabi-mcp.

COMMUNITY MCP✓ alivePublic API
MCP status verified 2026-05-24Agent-readiness 4/10
Data from Buddy's database, auto-rechecked weekly

What is the Kajabi MCP server?

The Kajabi MCP server lets Claude, Cursor, Codex, and other MCP-compatible clients query core records, settings, and activity data without leaving the editor. The server is community-built. Expect occasional drift from the source tool and check the README before depending on it for production agents.

Three things you actually do with it: ask Claude what changed in the last 7 days, have Cursor compare this period's metrics to last, and let Codex push a new record with custom metadata.

Kajabi also has a public REST API at developers.kajabi.com. Use the API for scheduled jobs and custom dashboards. Use the MCP server when an LLM is in the loop.

For the rest of the picture see the Kajabi review, full pricing breakdown, .

Inside Claude / Cursor / Codex

What you can build with the Kajabi MCP

Illustrative workflow examples. Exact tool names, parameters, and outputs come from Kajabi's MCP server schema — check the docs for the live surface.

kajabi-mcp
>Pull my latest Kajabi data into Claude
kajabi.get_latest()
LATEST ACTIVITY · 5
Most recent entry2 minutes ago
Records this week147
Active integrations4 connected
Storage used12.4% of plan
API calls today1,832
Drill into any of these?
kajabi-mcp
>Compare this month vs last month
kajabi.compare_periods({ period: "MoM" })
KEY METRICS · MoM
Total volume+18.4%
Active users+9.2%
Engagement rate−2.1%
Conversion rate+4.6%
Breakdown of the engagement dip?
kajabi-mcp
>What changed in the last 7 days that I should know about?
kajabi.recent_changes({ period: "7d" })
NOTABLE CHANGES · 3
New integration enabled2d ago
Plan limit reached92%
Top performer shifttoday
TMB SCORE FOR KajabiMCP: CommunityAgent fit: 4/10
Read review →

How to connect Kajabi MCP to Claude Desktop

Add this block to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows), then restart Claude Desktop. Cursor and Codex use a similar schema.

{
  "mcpServers": {
    "kajabi": {
      "command": "npx",
      "args": ["-y", "<server-package-name>"],
      "env": {
        "KAJABI_API_KEY": "your-api-key-here"
      }
    }
  }
}
// Server source: https://github.com/nerraaiAssistantBot/kajabi-mcp
// Check the server's README for the exact "command" and required env vars.

Some MCP servers require an API key. Check the source page for setup: github.com/nerraaiAssistantBot/kajabi-mcp.

Does Kajabi MCP cost extra?

Community (free)

The Kajabi MCP server is community-built — free to run, but you still pay for your Kajabi subscription.

  • Community MCPs are normally self-hosted from a GitHub repo. There's no extra license fee.
  • Your Kajabi account still needs whatever plan is required to access the data the MCP server queries.
  • Trade-off: zero MCP cost, but no guarantee it'll keep working when Kajabi changes their UI or API.
MCP cost
Free (self-hosted)
Subscription required
Yes (your tool plan)
Maintained by
Community

Kajabi subscription pricing

PlanMonthlyAnnual / mo
Basic$143$72
Growth$199$100
Pro$399$200

Source: kajabi.com/pricing. Verified 2026-05-24.

Kajabi also publishes a REST API

Kajabi publishes an API, but per-tier gating wasn't extracted automatically.

Auth method
SDK languages
OpenAPI spec
Webhooks
Structured outputs
See Kajabi API page

What you can do with Kajabi from an AI agent

Three shapes of agent workflow. Pick the row that matches how you actually use Claude / Cursor / Codex day to day.

INDIE / SOLO

Skip the dashboard, ask Claude

  • "What changed this week?" answered in seconds
  • Quick one-off questions without leaving the editor
  • Pipe Kajabi data into your personal notes / docs without writing a script
Effort: 30 seconds — paste the config, restart Claude
AGENCY

Run client analysis at agent speed

  • Hand the MCP server to your team — every consultant can ask Claude about any client's Kajabi account
  • Multi-account workflows without context-switching the Kajabi UI
  • Reports you'd normally spend hours on, done before standup
Effort: An afternoon — set up auth per client
IN-HOUSE TEAM

Production agent workflows

  • Embed in your internal Codex / Cursor agents that triage Kajabi data daily
  • Combine with other MCP servers in a multi-step agent chain
  • Constrain agents to read-only roles to keep production Kajabi safe
Effort: Days — security review + role config

Limits and gotchas

  • Community MCP — not maintained by Kajabi. Check the README and last-update date before depending on it.
  • Fallback: the REST API works for any flow the MCP server doesn't cover.
  • Rate limits: MCP calls count against your underlying Kajabi API quota. Burst usage from a curious agent can drain a daily allowance fast.
4/10

Agent-readiness verdict

Limited agent integration despite community MCP support. Kajabi has public API docs and a community-built MCP server, but lacks official MCP hosting, OpenAPI specs, and any native LLM integrations. The absence of webhooks and structured outputs makes real-time automation workflows difficult to construct.

MCP server availablePublic API with docs

Scored 2026-05-24 by Joonas (TMB).

Kajabi MCP & API FAQ

Is the Kajabi MCP server official?+
No — it's a community build, not maintained by Kajabi. Expect occasional drift and check the README before depending on it for production agents.
Can I use the Kajabi MCP with Cursor or Codex?+
Yes — MCP is a protocol, not Claude-specific. Any MCP-capable client (Cursor, Codex, Windsurf, Zed) can use the same server config with minor path adjustments.
Does Kajabi have a public API?+
Yes — public REST API at developers.kajabi.com.

Sources

Data verified by Joonas on the dates shown. MCP server status auto-rechecked weekly.

Joonas Rotko
Joonas RotkoAuthor & Founder of That Marketing Buddy

10+ years in digital marketing. I review marketing software for AI-stack fit: real pricing, MCP and API support, and how cleanly each tool drops into an AI agent workflow, cross-checked against verified data and real user feedback.