Health · Local MCP server

Fitness Influencer

AI-powered fitness content creator tools: video editing, image generation, workout plans, analytics.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.wmarceau/fitness-influencer
Version
1.3.0
Status
Active
Category
health
Transport
stdio (local process)
Package
PyPI
Published
2026-01-16
Updated
2026-01-16
Publisher
wmarceau (GitHub) · 11 servers with pages here
Repository
github.com/MarceauSolutions/dev-sandbox (folder projects/fitness-influencer)
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIfitness-influencer-mcp1.3.0stdioXAI_API_KEY, GOOGLE_CREDENTIALS_PATH

How to connect Fitness Influencer

Fitness Influencer runs locally from a Python package published to PyPI: fitness-influencer-mcp version 1.3.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx fitness-influencer-mcp. It reads these environment variables: XAI_API_KEY and GOOGLE_CREDENTIALS_PATH; set them in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "fitness-influencer": {
      "command": "uvx",
      "args": [
        "fitness-influencer-mcp"
      ],
      "env": {
        "XAI_API_KEY": "<value>",
        "GOOGLE_CREDENTIALS_PATH": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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