Education
Founder Effect Allele Retention Probability
Binomial retention probability 1 − (1−p)^(2N) for an allele among N founders, expected copy number, drift variance, copy-number distribution, and neutral fixation probability. Derived from Mayr 1942, Hartl & Clark 2007, StatPearls. Educational use only.
json· JSON resultOpen tool
Quick start
Call this tool from your code in three languages.
cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/founder-effect-probability' \
-H 'Content-Type: application/json' \
-d '{"founderCount":20,"alleleFrequency":0.05,"decimalPlaces":4}'API reference
Send a POST request with your inputs as JSON. File parameters require a separate upload first.
Endpoint
HTTP
POST https://api.elysiatools.com/en/api/tools/founder-effect-probabilityParameters
| Name | Type | Required | Description |
|---|---|---|---|
| founderCount | number | Yes | Number of diploid founders (N). |
| alleleFrequency | number | Yes | Frequency p of the allele in the source population (0 ≤ p ≤ 1). |
| decimalPlaces | number | No | — |
Response format
JSON result
JSON
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}MCP integration
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Server configuration
Add this block to your MCP client configuration:
mcp.json
{
"mcpServers": {
"elysiatools-founder-effect-probability": {
"name": "founder-effect-probability",
"description": "Binomial retention probability 1 − (1−p)^(2N) for an allele among N founders, expected copy number, drift variance, copy-number distribution, and neutral fixation probability. Derived from Mayr 1942, Hartl & Clark 2007, StatPearls. Educational use only.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=founder-effect-probability",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}List available tools
After connecting to the SSE endpoint, list the exposed tools:
tools/list
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Call this tool
Invoke the tool by its id, passing arguments built from its parameters:
tools/call
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "founder-effect-probability",
"arguments": {
"founderCount": 20,
"alleleFrequency": 0.05,
"decimalPlaces": 4
}
}
}Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).
Questions or issues? Contact [email protected]