GymCam Analytics

GymCam turns the cameras a gym already has into automatic attendance and trainer-performance analytics — no new hardware, no check-ins.

Feed it the existing CCTV stream and the class schedule; it recognizes trainers, counts attendees per class, and reports what's actually happening: which classes are full, which are dead, and which trainers fill the room.

Why

Gym owners run on gut feeling. Booking software (Mindbody, Glofox) only captures check-ins — and people skip check-ins, so the data is incomplete. Hardware people-counters (Density, V-Count) cost thousands and count bodies without context.

GymCam reuses what's already in the building and maps counts to classes and trainers — the thing that actually drives revenue.

Related MCP server: Pierre Fitness Platform MCP Server

What it reports

• Today's summary — classes held, total attendance, top classes

• Trainer attendance — daily/weekly fill rate and no-show rate per trainer

• Class performance — every class ranked by fill rate, so dead classes are obvious

• Revenue insights — most profitable vs. least profitable classes

Install

One command, straight from this repo (requires uv):

uvx --from git+https://github.com/axelfreeman/gymcamanalytics gymcam

Connect to your AI agent

Same command, different config file per client.

Claude Desktop (claude_desktop_config.json):

{"mcpServers": {"gymcam": {"command": "uvx", "args": ["--from", "git+https://github.com/axelfreeman/gymcamanalytics", "gymcam"]}}}

Codex (~/.codex/config.toml):

[mcp_servers.gymcam]
command = "uvx"
args = ["--from", "git+https://github.com/axelfreeman/gymcamanalytics", "gymcam"]

Cursor (.cursor/mcp.json) and Windsurf (~/.codeium/windsurf/mcp_config.json) use the same JSON block as Claude Desktop.

Claude Code:

claude mcp add gymcam -- uvx --from git+https://github.com/axelfreeman/gymcamanalytics gymcam

API key

Tools require an API key. Get one free at https://gymcamanalytics.com/get-key (100 free lookups, no credit card), then set it:

export GYMCAM_API_KEY=your_key_here

Tools

Status

Pre-launch. The MCP server and tool schema are live; tools return sample data until your gym's cameras are connected. Sign up for access.

License

MIT © 2026 Axel Freeman