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BurnOn MCP Server

BurnOn is the all-in-one platform gyms, studios and personal trainers use to run their business: memberships, scheduling, payments, client programming and a branded member app. This connector brings that data and the programming workflow into Claude.

Ask about any client and get their profile, logged workouts, exercise history, progress entries and a unified activity timeline. Ask about the business and get revenue, attendance and growth metrics as time series, plus the tasks and signals that need attention today. Then act: search the exercise library, build workout templates and multi-week programs, assign a program to a client and customize their copy, all from the conversation.

Everything runs as the signed-in coach. The connector can only see what that coach can already open in BurnOn, and the only things it can change are the workout library and client programs. It cannot bill, message, alter memberships or delete data. Claude asks for confirmation before every write.

Authentication is standard OAuth 2.1 with PKCE through BurnOn's identity provider. No API keys, no shared secrets. Remove the connector from Claude and access stops immediately.

Built for coaches and owners who already live in Claude and want to stop switching tabs to answer "how is Sarah doing?" before her session.

Authorization required. Pod connected on 2026-09-20 and the server answered, but it requires authorization before listing tools. The 26 tools below remain publisher-reported and unverified.

Categorised under productivity, health, data-analytics. Published by burnon.ai.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to BurnOn on 2026-09-20. It answered, but requires authorization before it will list its tools, responding in 23930ms.

Why the tool list is not verified

BurnOn refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 26 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 26 publisher-reported tools
  • assign_program_to_client
  • create_and_assign_program
  • create_program
  • create_workout_template
  • get_business_metric
  • get_client_activity
  • get_client_exercise_history
  • get_client_overview
  • get_client_program
  • get_client_programs
  • get_client_progress
  • get_client_weekly_overview
  • get_client_workout
  • get_client_workouts
  • get_my_profile
  • get_program
  • get_todays_tasks
  • get_workout_template
  • list_business_metrics
  • list_my_clients
  • list_programs
  • list_workout_templates
  • search_exercises
  • update_client_program
  • update_client_workout
  • update_workout_template

Connect

A hosted endpoint at https://mcp.burnon.ai/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "burnon": {
      "type": "http",
      "url": "https://mcp.burnon.ai/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used BurnOn yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find BurnOn, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "BurnOn",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=BurnOn' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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