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HAPI Strava MCP Server

la-rebelion/hapimcp
810 toolsHTTPregistry active
Summary

Plugs Strava's athlete, activity, segment, club, and route APIs directly into your MCP client without writing integration code. Built on HAPI MCP, which converts OpenAPI specs into MCP tools automatically, so you're calling Strava's production endpoints with auth and rate limits intact. Useful when you're building fitness coaching agents, training log analyzers, or anything that needs to pull workout data, compare segment times, or sync club events into an LLM workflow. Runs as a remote server at strava.run.mcp.com.ai, so no local setup. The HAPI approach means updates to Strava's API surface as new tools without redeploying your agent logic.

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Tools

Public tool metadata for what this MCP can expose to an agent.

10 tools
get_recent_activitiesGet recent Strava activities (default: last 10)1 params

Get recent Strava activities (default: last 10)

Parameters* required
limitnumber
Number of activities (max 30)default: 10
get_activity_detailsGet detailed info for a specific activity1 params

Get detailed info for a specific activity

Parameters* required
activity_idstring
Activity ID
get_weekly_statsWeekly training statistics (distance, time, training load)1 params

Weekly training statistics (distance, time, training load)

Parameters* required
weeksnumber
Number of weeks back (default: 4)default: 4
get_training_load_analysisAnalyze training load with ATL, CTL, TSB and get REST or TRAIN advice

Analyze training load with ATL, CTL, TSB and get REST or TRAIN advice

No parameter schema in public metadata yet.

get_weekly_training_planGet a weekly plan with recommended hours, workout types and intensities

Get a weekly plan with recommended hours, workout types and intensities

No parameter schema in public metadata yet.

get_gear_maintenanceList all bikes and shoes with total km and maintenance warnings

List all bikes and shoes with total km and maintenance warnings

No parameter schema in public metadata yet.

get_power_curveAnalyze best power outputs (5s, 1min, 5min, 20min, 60min), estimate FTP, and compare with previous month

Analyze best power outputs (5s, 1min, 5min, 20min, 60min), estimate FTP, and compare with previous month

No parameter schema in public metadata yet.

get_hr_zone_distributionAnalyze time spent in each HR zone (last 4 weeks) with training balance advice

Analyze time spent in each HR zone (last 4 weeks) with training balance advice

No parameter schema in public metadata yet.

get_hr_drift_analysisMeasure cardiac drift in steady rides — indicator of aerobic efficiency

Measure cardiac drift in steady rides — indicator of aerobic efficiency

No parameter schema in public metadata yet.

check_workout_qualityAnalyze interval consistency, power decoupling, and recovery for a specific activity1 params

Analyze interval consistency, power decoupling, and recovery for a specific activity

Parameters* required
activity_idstring
Activity ID to analyze

HAPI MCP – Headless API for Model Context Protocol

Stop rewriting systems for AI. Instantly turn your APIs into MCP servers.

HAPI MCP lifts your OpenAPI catalog into MCP tools automatically, keeping design (OAS/Arazzo) and runtime (agents/LLMs) cleanly separated. Your existing APIs become AI-ready tools—no new business logic, no sidecar servers, no rework.

Key Features

  • No rewrites: Reuse 100% of your API logic. OpenAPI in, MCP tools out. No parallel codebase or shadow services.
  • Faster time-to-value: Turn specs into agent-ready tools in minutes. Update the spec, ship new tools instantly.
  • Reduced risk: Permissions, auth, rate limits, auditability are inherited from your APIs—governance without bolt-ons.
  • Scales with you: runMCP delivers serverless-like elasticity with long-running when needed. Cold-start fast, stay warm for throughput.
  • Deterministic orchestration: OrcA plans and executes multi-tool tasks predictably—no brittle prompt chaining.
  • Vendor-neutral: Works with any MCP client: ChatGPT, Claude, QBot, chatMCP. OAS + MCP + Arazzo stay portable.

How It Works

  1. Pick your API spec

    • OpenAPI, Swagger, REST—HAPI CLI works with any API specification format.
    • Supports OpenAPI 3.0+, REST APIs, OAuth 2.0 Dynamic Client Registration.
  2. Run a single command

    • One simple CLI command transforms your API into a usable MCP Server.
    • No complex setup, zero configuration, works anywhere, cross-platform.
  3. Use instantly

    • Your API is now ready as a tool, AI agent, or testing interface.
    • MCP server ready, AI agent compatible, testing interface, developer experience friendly.

Visual Pipeline

API Spec (swagger.json) → HAPI CLI → Usable Tool (AI-ready) ← MCP Clients
[ OpenAPI / Swagger ]       [ HAPI CLI ]        [ MCP Server ]
       (Your API)         →   (Transform)   →   (Usable Tool)
                                                 ↑          ↑
                                                 |          |
                                          [ ChatGPT ]  [ runMCP ]
                                          [ Claude  ]  [ OrcA   ]
                                          [ QBot    ]  [ chatMCP]
                                          [ Agents  ]

Who Wins With HAPI

  • Executives: Ship AI initiatives without ballooning cost. Keep teams focused on outcomes, not rewrites and integration sprawl.
  • Architects & PMs: Design with OpenAPI/Arazzo, run with MCP. Clear contracts, policy inheritance, and versioned workflows keep risk low.
  • Engineers & Ops: Deploy once. HAPI Server + runMCP scale tools; QBot/chatMCP give fast feedback; OrcA keeps executions deterministic.

Your Stack, Already Wired

  • HAPI Server: Turns OpenAPI into MCP tools automatically—contracts stay in sync with your source of truth.
  • runMCP: Autoscaling execution and testing for MCP tools; cold-start fast, stay warm when workflows run long.
  • QBot: CLI TUI for power users to interact with MCP tools directly from terminal or scripts.
  • chatMCP: Conversational client that speaks MCP natively for support, ops, and internal assistants.
  • OrcA: Deterministic planning and orchestration for multi-tool tasks; no brittle prompt spaghetti.
  • Agents: Build agentic systems from standard APIs—no custom glue. Connect MCP clients across platforms.

Demos

  • Playlist with demos
  • New HAPI MCP YT Channel with demos API-First and MCP

Documentation

  • Explore the Docs
  • See HAPI Server

FAQ

  • Do we need to rewrite our services?
    No. HAPI MCP lifts your existing OpenAPI specs directly into MCP tools. Your auth, validation, and business rules remain unchanged.

  • Is this just another MCP server?
    It’s the Headless API model: your API becomes the runtime. HAPI Server reflects it as MCP; runMCP scales it; OrcA orchestrates it. No duplicate logic.

  • Which clients can consume the tools?
    Any MCP client: ChatGPT, Claude, QBot, chatMCP, bespoke orchestrators—vendor-neutral by design.

  • How do we keep control and compliance?
    Your API remains the single source of truth. Policies, RBAC, rate limits, and audit logs flow through automatically; no shadow logic.

  • What about security and privacy?
    Scoped credentials, per-tool permissions, and auditable calls are inherited from your API layer. HAPI adds guardrails and observability for regulated environments.

  • How fast can we get started?
    You can transform your first API into an MCP tool in less than five minutes. The HAPI CLI makes it quick and painless.

Get Started

  1. Install HAPI CLI from latest release: https://github.com/la-rebelion/hapimcp/releases

  2. Transform your OpenAPI spec into an MCP server with a single command:

    hapi serve path/to/your/swagger.json --headless
    
  3. Start using your MCP tools with any compatible client!

  4. Explore the documentation for advanced usage and best practices.

Contributing

Contributions are welcome! Open a discussion or submit a pull request on GitHub: https://github.com/la-rebelion/hapimcp

License

HAPI MCP is licensed under the MIT License. See LICENSE for details.

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Registryactive
TransportHTTP
UpdatedFeb 19, 2026
View on GitHub