steps-calories
MCP serverEverything elseCalories burned by a step count, and steps needed to walk off a food.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the steps to calories tool from steps-calories
Install steps-calories
The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user steps-calories 'https://steps-mcp.zelta.in/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://steps-mcp.zelta.in/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=steps-calories&config=eyJ1cmwiOiJodHRwczovL3N0ZXBzLW1jcC56ZWx0YS5pbi9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://steps-mcp.zelta.in/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add steps-calories --url 'https://steps-mcp.zelta.in/mcp'Run it once, then sign in with codex mcp login steps-calories if the server asks for an account.
Tools it offers (2)
What this server listed when ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
steps_to_caloriessteps_to_burn
ahel review
S5low
no public repository, nothing to review
Automated review, not a security audit. Ruleset v1.
Advanced
- Delivery
- steps-calories MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
in-zelta-steps-calories- Hosted endpoint
https://steps-mcp.zelta.in/mcp