Running Pace Converter Connector for AI agents.
5 live capabilities
Predict marathon finish times and plan precise training zones.
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Why people use Running Pace Converter
Running Pace Converter for Marathon Race Predictions
With this Connector, you just tell your agent what you did today. It handles the Riegel formula and gives you a predicted marathon time instantly. You get a clear goal instead of a messy spreadsheet.
What Vinkius changes
You get accurate, data-driven running targets without doing any of the manual math.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Predicting a marathon time
A runner wants to know if they can hit a sub-4 hour marathon based on their recent 10k time.
- Real-world use case 02
Creating a training plan
A coach needs to know what an easy pace means for a runner with a 7:00 min/km baseline.
- Real-world use case 03
Race day prep
A runner wants a split table for a half marathon to keep their pace steady.
Complete set · 5capabilities
The complete Running Pace Converter capability set.
These are the exact actions your AI can choose when you ask it to work with Running Pace Converter.
01—03
3 capabilities in this set.
Part of 5 available through Running Pace Converter.
- 01 Capability
Predict marathon finish times
Get a realistic race day forecast based on your recent achievements using the Riegel formula.
- 02 Capability
Map out training zones
Determine exact paces for easy, tempo, and interval runs based on your current baseline.
- 03 Capability
Create race split tables
Generate a detailed breakdown of distance and time checkpoints for any specific race distance.
04—05
2 capabilities in this set.
Part of 5 available through Running Pace Converter.
- 04 Capability
Switch pace units
Convert your pace instantly between metric and imperial units like min/km and mph.
- 05 Capability
Estimate future performance
See how your current fitness translates to different race lengths and goals.
Set up in minutes
One URL. Then ask Running Pace Converter to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Running Pace Converter from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Running Pace Converter, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Running Pace Converter for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Running Pace Converter URL.
- Step 03
Save and start
Save the connection and enable Running Pace Converter in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"running-pace-converter": {
"url": "https://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Running Pace Converter
Open Agent mode in chat and ask: "Using Running Pace Converter, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"running-pace-converter": {
"url": "https://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Running Pace Converter
Ask Copilot: "Using Running Pace Converter, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"running-pace-converter": {
"url": "https://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Running Pace Converter
Open Cascade and ask: "Using Running Pace Converter, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"running-pace-converter": {
"url": "https://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Running Pace Converter
Ask Cline: "Using Running Pace Converter, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add running-pace-converter --transport http "https://edge.vinkius.com/vk_preview_alqKB6kDztASsodZsgPcXe2uyGAbYhxEjhInibm8/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Running Pace Converter
Ask Claude: "Using Running Pace Converter, show me...". 5 tools are ready
Where the request belongs
Work Running Pace Converter can move forward.
This is for runners who are tired of manual calculations and want a data-driven way to structure their training plans and race goals.
Marathon Trainees
Planning a multi-month training block and needing realistic finish time goals based on current fitness.
Running Coaches
Generating split tables and training zones for multiple clients quickly to ensure consistent pacing.
Fitness Enthusiasts
Switching between miles and kilometers while tracking personal bests and training progress.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Training Pace Calculator
Calculate running training intensity zones and race pace predictions based on performance or VO2max.
Running Race Predictor
Predict race performance and generate segmented pacing strategies using the Riegel model.
Heart Rate Zone Calculator
Calculate personalized training zones using the Karvonen formula and sport-specific adjustments.
Heart Rate Zones Calculator
Calculate personalized aerobic training zones using the Karvonen formula.
Perceived Exertion Converter
Convert RPE (Borg 6-20 and CR10) to estimated heart rate and training zones.
Swimming Pace Calculator
Calculate swimming training intensities, race predictions, and efficiency metrics based on Critical Swim Speed (CSS).
Bring your own AI
Change the model, client or framework. Keep Running Pace Converter connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Running Pace Converter.
The practical details behind the request, access and result.
Can the Running Pace Converter help me predict my marathon time?
Yes, it uses the Riegel formula to estimate your marathon finish time based on your recent race achievements, like a 5k or 10k finish.
How does Running Pace Converter calculate training zones?
It takes your current baseline pace and calculates specific ranges for easy, tempo, and interval runs so you know exactly how hard to push.
Can I use Running Pace Converter to switch between miles and kilometers?
Absolutely. You can instantly convert your paces between metric and imperial units without having to do the math yourself.
Does Running Pace Converter create split tables for different races?
It can generate a detailed breakdown of distance and time checkpoints for any race distance you choose, helping you stay on pace during your run.
Is Running Pace Converter good for marathon training?
It is a great capability for marathon training because it helps you set realistic goals and provides the specific pace targets needed for a structured plan.
Does it work for all types of running?
Yes, whether you are training for a 5k, a half marathon, or a full marathon, it can calculate paces and splits for any distance.
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.
One connection away
Give your agent a direct line to Running Pace Converter.
Connect Running Pace Converter once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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