Fitness Influencer MCP

What MarceauSolutions/fitness-influencer-mcp MCP server does

MarceauSolutions/fitness-influencer-mcp MCP server is organized as an automation suite for fitness content creators. Its documented capabilities include jump-cut video editing, educational graphic generation, Gmail summarization, revenue analytics, calendar reminders, workout plan generation, nutrition guide generation, AI image generation, video advertising, and SMS notifications.

The repository also includes a web frontend and a FastAPI application layer. The README identifies a production URL, but it does not describe the MCP transport, authentication flow, or a definitive list of MCP-exposed tools. Treat the repository primarily as a collection of Python workflows and HTTP endpoints unless the deployment provides additional MCP configuration.

How it works

The core operations are implemented as Python files under src/. Some can be run directly from the command line. For example, the video workflow accepts an input and output file, while the educational graphics workflow accepts a title, a comma-separated list of points, and a target platform. Email summaries can be requested for a specified number of hours, and image generation accepts a prompt and image count.

The FastAPI layer documents four routes: a health check at /, a POST route for video jump cuts, a POST route for creating graphics, a GET route for email summaries, and a POST route for image generation. The README does not provide request schemas, response formats, startup commands, or MCP client configuration.

Setup and configuration

MarceauSolutions/fitness-influencer-mcp MCP server lists environment variables for Google credentials, xAI image generation, video services, and Twilio messaging. The named variables are:

• GOOGLE_CREDENTIALS_PATH
• XAI_API_KEY
• SHOTSTACK_API_KEY
• CREATOMATE_API_KEY
• TWILIO_ACCOUNT_SID
• TWILIO_AUTH_TOKEN
• TWILIO_PHONE_NUMBER

The README uses example values for these settings, so they must be replaced with valid credentials and paths before the related integrations can work. It does not state which variables are mandatory for every script. The repository's quick-start examples invoke Python files directly from the project directory.

Tools and capabilities

Documented functions include:

• Removing pauses or unwanted gaps from video through jump-cut processing.
• Producing educational fitness graphics for platforms such as Instagram posts.
• Summarizing Gmail messages from a selected time window.
• Generating fitness-oriented images through an xAI-backed script.
• Creating workout plans and nutrition guides.
• Sending SMS notifications through Twilio.
• Producing video ads through Shotstack and related video-service scripts.
• Tracking revenue analytics and creating calendar reminders.

The feature table marks jump cuts, graphics, Gmail summaries, revenue analytics, calendar reminders, workout plans, and nutrition guides as free. It lists approximate usage costs for AI images, Shotstack videos, and Twilio SMS, but actual charges depend on the external providers.

Limitations and notes

MarceauSolutions/fitness-influencer-mcp MCP server depends on several external services for parts of its functionality. The README does not document fallback behavior when credentials are absent, the exact Google permissions required, supported video formats, or the analytics data sources. It also does not provide a confirmed package-install command or explain whether the listed FastAPI routes are exposed through MCP.

The repository references Claude skill files and trigger phrases such as “edit video with jump cuts,” “create fitness graphic,” “summarize my emails,” “generate fitness image,” and “create workout plan.” Those references describe intended workflow triggers, not a complete MCP tool schema. Validate the deployment and inspect the project configuration before connecting it to an agent that needs reliable tool discovery or production guarantees.