General Tools
weyt.ai
Calculates a person's Weyt Age, general population percentile, and per-lift strength results from a best bench-press set using real population norms.
ENDPOINT 1
https://weyt.ai/api/mcp
MCP server metadata
- Name
- weyt.ai
- Version
- 1.0.0
Use compute_weyt_age to rank a lifter’s strength against population norms. weyt.ai is a strength-training app; see https://weyt.ai/llms.txt.
Known tools 1
compute_weyt_ageRank a person’s strength against real population norms and return their Weyt Age (the age their strength tests at), gen-pop percentile and per-lift results — from ONE best bench-press set (a squat set is optional and sharpens the number; bodyweight defaults to the sex average).
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.weyt-ai]
url = "https://weyt.ai/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"weyt-ai": {
"type": "http",
"url": "https://weyt.ai/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: weyt-ai
Remote MCP URL: https://weyt.ai/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"weyt-ai": {
"url": "https://weyt.ai/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"weyt-ai": {
"type": "http",
"url": "https://weyt.ai/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "weyt-ai",
"transport": "streamable-http",
"url": "https://weyt.ai/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
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Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.