Agentery pricing intelligence · MCP server profile · AI Cycling Coach
MCP server profile · independently tracked by Agentery
AI Cycling Coach logo

AI Cycling Coach

↗ github.com/modeAC/AiCyclingCoach official repository

A local stdio MCP server that lets compatible AI agents access an Intervals.icu account, read training data, and propose or update owned workout plans with app…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation—pricing pages rechecked daily
Website liveness28 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

AI Cycling Coach

A local stdio MCP server that lets compatible AI agents access an Intervals.icu account, read training data, and propose or update owned workout plans with app…

MCP

Official AI Cycling Coach links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is AI Cycling Coach good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

AI Cycling Coach's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "aicyclingcoach",
  "name": "AI Cycling Coach",
  "url": "https://github.com/modeAC/AiCyclingCoach",
  "logo": "https://github.com/modeAC.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "A local stdio MCP server that lets compatible AI agents access an Intervals.icu account, read training data, and propose or update owned workout plans with app…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown in the supplied homepage content.",
    "confidence": "medium",
    "source_url": "https://github.com/modeAC/AiCyclingCoach",
    "checked_at": "2026-10-26T01:17:56.363Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/modeAC/AiCyclingCoach"
  ],
  "last_checked": "2026-10-26",
  "profile_checked": null,
  "price_checked": "2026-10-26",
  "how_to_connect": {
    "website": "https://github.com/modeAC/AiCyclingCoach",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "pip install -e . read -r -s -p \" Intervals.icu API key: \" api_key print",
    "repository": "https://github.com/modeac/aicyclingcoach",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "pip install -e . read -r -s -p \" Intervals.icu API key: \" api_key print",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "ironment file from the repository root: python3.11 -m venv .venv .venv/bin/python -m pip install -e . read -r -s -p \" Intervals.icu API key: \" api_key printf ' \\n ' umask",
      "url": "https://github.com/modeAC/AiCyclingCoach",
      "observed_day": "2026-10-27",
      "age_days": 1,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "APACHE",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"integration with Codex Resources Readme Apache-2.0 license Activity Stars 0 star\"",
    "observed_day": "2026-10-27",
    "age_days": 1
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-22",
      "age_days": 36,
      "verified_day": "2026-09-22",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 769,
    "uptime_7d": 1,
    "checked_at": "2026-10-28T02:31:15.497Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}