Running Race Predictor Connector for AI agents.
3 live capabilities
Plan your marathon goals and get precise pacing strategies for every distance.
Waiting for input…
Why people use Running Race Predictor
Running Race Predictor Marathon Pacing Predictions
This Connector changes that by plugging the Riegel fatigue model directly into your AI client. You just tell your agent your latest race result, and it gives you a realistic prediction for any standard distance. You get a clear picture of your potential without opening a single spreadsheet.
What Vinkius changes
You get data-backed race predictions and actionable pacing plans without doing any 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 marathon potential
A runner wants to know if their recent 25-minute 5K means they can run a sub-4-hour marathon.
- Real-world use case 02
Creating a 10K pacing plan
A coach needs to create a 10K pacing plan that starts slow and finishes fast for a client.
- Real-world use case 03
Verifying training logs
An athlete wants to check if their 10-mile training run distance is being recorded correctly for their logs.
Complete set · 3capabilities
The complete Running Race Predictor capability set.
These are the exact actions your AI can choose when you ask it to work with Running Race Predictor.
01—03
3 capabilities in this set.
Part of 3 available through Running Race Predictor.
- 01 Capability
Predict race times
This capability gets estimated times for standard distances like 5K, 10K, and Marathons based on your current fitness. It helps you understand your potential across different endurance levels.
- 02 Capability
Generate segment strategy
This capability creates a detailed pacing plan with specific targets for different sections of a race. You can use it to build even split or negative split strategies.
- 03 Capability
Validate race input
This capability checks your distance measurements and converts them to meters to ensure the math stays accurate. It prevents errors caused by mixing miles and kilometers.
Set up in minutes
One URL. Then ask Running Race Predictor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Running Race Predictor 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_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Running Race Predictor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor URL.
- Step 03
Save and start
Save the connection and enable Running Race Predictor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"running-race-predictor": {
"url": "https://edge.vinkius.com/vk_preview_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor
Open Agent mode in chat and ask: "Using Running Race Predictor, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"running-race-predictor": {
"url": "https://edge.vinkius.com/vk_preview_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor
Ask Copilot: "Using Running Race Predictor, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"running-race-predictor": {
"url": "https://edge.vinkius.com/vk_preview_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor
Open Cascade and ask: "Using Running Race Predictor, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"running-race-predictor": {
"url": "https://edge.vinkius.com/vk_preview_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor
Ask Cline: "Using Running Race Predictor, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add running-race-predictor --transport http "https://edge.vinkius.com/vk_preview_dEd6lJVkz6lOxZ2kc47EqtF7OBIihzT9hdzvOXmD/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 Race Predictor
Ask Claude: "Using Running Race Predictor, show me...". 3 tools are ready
Where the request belongs
Work Running Race Predictor can move forward.
This is for runners and coaches who want to move beyond guessing. It's for the athlete who knows their 5K time but isn't sure what that means for a marathon, and the coach who needs to provide specific, mathematically sound pacing targets for their clients.
Marathon Trainee
They use this to see if their current 10K pace is enough to hit a sub-4-hour marathon goal.
Triathlon Coach
They use it to generate specific pacing segments for the running portion of a multi-sport event.
Competitive Runner
They use it to see how a small increase in 5K speed affects their predicted marathon finish time.
Running Blogger
They use it to provide accurate, model-based predictions for their readers' training goals.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
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Running Pace Converter
Convert running paces, predict race times using Riegel formula, and generate training zones.
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Generate safe running progression plans using the 10% growth rule.
Swimming Pace Calculator
Calculate swimming training intensities, race predictions, and efficiency metrics based on Critical Swim Speed (CSS).
Workout Rest Timer
Calculate optimal rest intervals and warm-up protocols based on your training goals like Strength, Hypertroint, or Endurance.
Strava
Connect Strava to your AI agent to track activities, analyze athlete performance stats, and manage segments or routes directly.
Bring your own AI
Change the model, client or framework. Keep Running Race Predictor 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 -
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Amazon Q -
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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 Race Predictor.
The practical details behind the request, access and result.
Can Running Race Predictor tell me my marathon time from a 5K?
Yes. It uses the Riegel fatigue model to calculate your marathon potential based on your recent 5K performance, giving you a realistic estimate instead of just guessing.
How does Running Race Predictor help with 10K pacing?
It generates a segmented pacing plan. You can ask for specific styles like even splits or negative splits, and it will give you targets for each part of the race.
Does Running Race Predictor use real formulas?
Yes, it specifically uses the Riegel fatigue model, which is a standard endurance model used to predict how pace changes over longer distances.
Can I use Running Race Predictor to create a negative split plan?
Absolutely. You can tell your agent your goal time and ask for a negative split, and it will break the race down into segments with increasing speeds.
Does Running Race Predictor handle different units like miles?
Yes, it includes a validation capability that automatically converts miles to meters to ensure all your data is consistent before making predictions.
How does Running Race Predictor help with endurance goals?
It helps you set realistic targets. By knowing what your 5K time means for a marathon, you can set more accurate training goals and stay motivated.
Is Running Race Predictor good for competitive runners?
Yes, it's great for anyone who wants data-backed insights. Competitive runners can use it to see how small improvements in shorter races impact their long-distance goals.
How accurate are the race predictions?
Predictions use the Riegel model, which is highly effective for standard distances. For ultra-endurance distances exceeding a marathon, the system applies an adjusted fatigue exponent to maintain accuracy.
What pacing strategies are available?
You can choose from EVEN_SPLIT for constant speed, NEGATIVE_SPLIT to finish faster than you started, or CONSERVATIVE_START to conserve energy early in the race.
Can I use my own distance measurements?
Yes. You can provide distances in meters, kilometers, or miles. The validate_race_input capability will automatically normalize them to meters for precise calculation.
One connection away
Give your agent a direct line to Running Race Predictor.
Connect Running Race Predictor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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