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Connect Cycling Distance Analyzer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw cycling segments into clear distance metrics.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

How Vinkius works: one connection, every tool, in any AI
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Complete set · 4 capabilities

The complete Cycling Distance Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with Cycling Distance Analyzer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Cycling Distance Analyzer.

  1. 01

    Calculate average segment length

    This capability finds the mean length of all provided cycling segments.

  2. 02

    Calculate total distance

    Use this to sum up the entire distance covered across every segment in your list.

  3. 03

    Find longest segment

    This capability identifies the single largest segment from your collection of rides.

  4. 04

    Get distance statistics

    This capability pulls high-level metrics and summary data for your cycling segments.

One connector, every AI

Cycling Distance Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Cycling Distance Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1017ms average. Fast in production.

Cycling Distance Analyzer is checked daily against the live service.

Daily averagePeak 1066ms
Sep 23Today
Fastest day
863ms
Slowest day
1066ms
14-day trend
Slowing+20%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Cycling Distance Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Cycling Distance Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Cycling Distance Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_SyDHp6XA2zdCSXCpi47d6XvmeDFsmY3M0W8o7AI6/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Cycling Distance Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cycling-distance-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SyDHp6XA2zdCSXCpi47d6XvmeDFsmY3M0W8o7AI6/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? How to give Claude access to Cycling Distance Analyzer

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cycling Distance Analyzer owners hand off.

This is built for anyone managing cycling data who wants to use AI to interpret their training logs.

  • 01

    Cyclists

    Hand your ride data to an agent to get quick summaries of your progress.

  • 02

    Fitness Data Analysts

    Use the capability to process large batches of segment data for reporting.

  • 03

    Coaches

    Let your AI client calculate training volumes for your athletes.

FAQ

Questions Cycling Distance Analyzer owners ask.

  • 01

    How do I use this MCP with Claude?

    You connect your Claude client to the Vinkius platform, which hosts the MCP for you. Once connected, you can simply ask Claude to analyze your cycling data.

  • 02

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 03

    Can I use this for any cycling data?

    The MCP works with any numerical segment data you provide to your AI agent.

  • 04

    What kind of statistics can I get?

    You can get total distance, average segment lengths, the longest segment, and other high-level metrics.

  • 05

    Does this work with Cursor or Windsurf?

    Yes, this MCP is compatible with any client that supports the Model Context Protocol, including Cursor and Windsurf.

  • 06

    How can I get a summary of all my rides?

    You can use the get_distance_statistics capability to receive a summary including total distance, average length, maximum distance, and the total number of segments.

  • 07

    Can I find my longest ride segment?

    Yes, the find_longest_segment capability identifies the largest distance value within your provided list of segments.

  • 08

    What units should I use for segment lengths?

    You can use any consistent unit like kilometers or miles, as long as all segments in a single request use the same unit.

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