← gravl.ai

INDIVIDUAL MCP TOOL

get_workout_template

Fetches one workout template by external id.

gravl.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.gravl.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_workout_template and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

gravl.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.gravl-mcp]
url = "https://mcp.gravl.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "gravl-mcp": {
      "type": "http",
      "url": "https://mcp.gravl.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: gravl-mcp
Remote MCP URL: https://mcp.gravl.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "gravl-mcp": {
      "url": "https://mcp.gravl.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "gravl-mcp": {
      "type": "http",
      "url": "https://mcp.gravl.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "gravl-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.gravl.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • get_mcp_schema — Returns the MCP API endpoint list and hard limits exposed by Gravl.
  • get_mcp_options — Returns API-backed readable id/name options for settings, muscles, equipment categories, workout types, set types, and other enum fields.
  • get_account_context — Fetches the user's settings, workout settings, custom splits, and gym profiles in one call.
  • get_all_settings — Fetches all editable settings groups in one response: user, workout, warmup, rest time, appearance, and training mode.
  • patch_training_goals — Updates training setup: goal, experience level, workout duration, workout place, weekly goal, gym name.
  • patch_general_preferences — Updates display and workout preferences: weight/distance units, first day of week, exertion rating prompt, supersets, exercise distribution, default effort.
  • patch_equipment_settings — Updates equipment settings: equipment ids, sub-equipment ids, bodyweight-only mode, plate calculator.
  • patch_muscle_focus — Updates focused and excluded muscles/submuscles.