Education
Bottleneck Effect Simulator (heterozygosity loss)
Expected heterozygosity loss through a population bottleneck: H_final = H₀(1−1/2Nb)^t(1−1/2Nr)^g, retention, inbreeding F, harmonic-mean Ne, and one-generation allele survival. Derived from Wright 1931, Nei et al. 1975, 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/bottleneck-effect-simulator' \
-H 'Content-Type: application/json' \
-d '{"initialHeterozygosity":0.5,"bottleneckSize":20,"bottleneckGenerations":5,"recoverySize":2000,"recoveryGenerations":10,"alleleFrequency":0.1,"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/bottleneck-effect-simulatorParameters
| Name | Type | Required | Description |
|---|---|---|---|
| initialHeterozygosity | number | Yes | Heterozygosity before the bottleneck (0 < H₀ ≤ 1). |
| bottleneckSize | number | Yes | Census size during the bottleneck (Nb). |
| bottleneckGenerations | number | Yes | Number of generations spent at the bottleneck size (t). |
| recoverySize | number | Yes | Census size after recovery (Nr). |
| recoveryGenerations | number |
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-bottleneck-effect-simulator": {
"name": "bottleneck-effect-simulator",
"description": "Expected heterozygosity loss through a population bottleneck: H_final = H₀(1−1/2Nb)^t(1−1/2Nr)^g, retention, inbreeding F, harmonic-mean Ne, and one-generation allele survival. Derived from Wright 1931, Nei et al. 1975, Hartl & Clark 2007, StatPearls. Educational use only.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=bottleneck-effect-simulator",
"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": "bottleneck-effect-simulator",
"arguments": {
"initialHeterozygosity": 0.5,
"bottleneckSize": 20,
"bottleneckGenerations": 5,
"recoverySize": 2000,
"recoveryGenerations": 10,
"alleleFrequency": 0.1,
"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).