How does this MCP predict race times?

It uses the Riegel formula to estimate future race performances based on your current achievements.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client including Claude, Cursor, Windsurf, and VS Code.

Can I use this for marathon pacing?

Yes, you can use the generate_split_table capability to create checkpoints for any race distance, including marathons.

Does it support metric units?

Yes, the convert_units capability allows you to switch between metric and imperial units like min/km and mph.

How are training zones determined?

The calculate_training_zones capability determines intensity levels like easy or tempo runs relative to your baseline pace.

How can I convert my pace from min/km to mph?

You can use the convert_units capability by providing your current pace in min/km and specifying mph as the target unit. Capabilities available: your_tool_name.

How does the race time prediction work?

The predict_race_times capability uses the Riegel formula to estimate your performance at different distances based on a known completed race.

Can I calculate my target interval pace?

Yes, use the calculate_training_zones capability with your baseline pace and select 'interval' as the zone type.

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Connect Running Pace Converter to ChatGPT, Claude and Gemini

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. Get precise race predictions and training zones instantly.

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.

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.

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.

One connector, every AI

Running Pace Converter 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.

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

You don't need a client to put Running Pace Converter 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

639ms average. Fast in production.

Running Pace Converter is checked daily against the live service.

Daily averagePeak 864ms

Oct 3Today

Fastest day: 530ms
Slowest day: 864ms
14-day trend: Improving-20%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 0 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 Running Pace Converter, so you can see the experience inside your AI.

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

Running Pace Converter Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Running Pace Converter capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "running-pace-converter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/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? Set up Running Pace Converter in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Running Pace Converter owners hand off.

This MCP is built for runners and coaches who want to move from raw data to actionable training plans using an AI agent.

01
Endurance Athletes
Use the agent to manage training zones and race day pacing.
02
Run Coaches
Hand off pace conversions and race predictions to your AI client to build client plans.
03
Data-Driven Runners
Use the Riegel formula capability to analyze performance trends.

FAQ

Questions Running Pace Converter owners ask.

01
How does this MCP predict race times?
It uses the Riegel formula to estimate future race performances based on your current achievements.
02
Which AI clients can use this MCP?
You can use this with any MCP-compatible client including Claude, Cursor, Windsurf, and VS Code.
03
Can I use this for marathon pacing?
Yes, you can use the generate_split_table capability to create checkpoints for any race distance, including marathons.
04
Does it support metric units?
Yes, the convert_units capability allows you to switch between metric and imperial units like min/km and mph.
05
How are training zones determined?
The calculate_training_zones capability determines intensity levels like easy or tempo runs relative to your baseline pace.
06
How can I convert my pace from min/km to mph?
You can use the convert_units capability by providing your current pace in min/km and specifying mph as the target unit. Capabilities available: your_tool_name.
07
How does the race time prediction work?
The predict_race_times capability uses the Riegel formula to estimate your performance at different distances based on a known completed race.
08
Can I calculate my target interval pace?
Yes, use the calculate_training_zones capability with your baseline pace and select 'interval' as the zone type.

Explore

More in Utilities

Connect Running Pace Converter to Claude, Cursor, ChatGPT & more

Connect Running Pace Converter to ChatGPT, Claude and Gemini

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