Etapa — Cycling Coach MCP
Server Details
AI cycling coach — training plans and beginner guidance via the Etapa API.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- rhoneybul/etapa
- GitHub Stars
- 0
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Tool Definition Quality
Average 4.1/5 across 4 of 4 tools scored.
Each tool has a clearly distinct purpose: ask_cycling_coach handles open-ended Q&A, cycling_beginner_guide provides static educational content, generate_training_plan creates new plans, and review_cycling_plan critiques existing plans. There is no overlap in functionality, making tool selection straightforward for an agent.
The tools follow a consistent snake_case naming convention with descriptive verb_noun patterns (e.g., ask_cycling_coach, generate_training_plan). However, cycling_beginner_guide uses an adjective_noun_noun structure, which is a minor deviation from the otherwise uniform style.
With 4 tools, the server is well-scoped for its purpose as a cycling coach assistant. Each tool addresses a core aspect of the domain—guidance, plan generation, plan review, and Q&A—without being overly sparse or bloated, making the set manageable and purposeful.
The toolset covers key cycling coaching needs: education (beginner_guide), plan creation (generate_training_plan), plan evaluation (review_cycling_plan), and adaptive support (ask_cycling_coach). A minor gap is the lack of tools for tracking progress or modifying existing plans, but agents can work around this using the Q&A tool for adjustments.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
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