Fitness Influencer runs on your own machine — the client starts it, so there is no endpoint to ping. 75 installs a week from pypi.
AI-powered fitness content creator tools: video editing, image generation, workout plans, analytics.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add fitness-influencer -- uvx fitness-influencer-mcp
{
"mcpServers": {
"fitness-influencer": {
"args": [
"fitness-influencer-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.fitness-influencer]
command = "uvx"
args = ["fitness-influencer-mcp"]
{
"mcpServers": {
"fitness-influencer": {
"args": [
"fitness-influencer-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"fitness-influencer": {
"args": [
"fitness-influencer-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
XAI_API_KEY (xAI/Grok API key for image generation ($0.07/image)), GOOGLE_CREDENTIALS_PATH (Path to Google OAuth credentials for Sheets analytics).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.