musevate/MCP

Overview

Musevate MCP is a Model Context Protocol server that generates video from a text prompt, an image, or reference images. It provides a unified interface across many AI video models, letting clients send different input types and receive generated video results.

Best for

Best for
Developers building MCP-compatible tools that need flexible AI video generation from varied inputs.

Use cases

• Generate video clips from text prompts
• Animate a still image into a video
• Use reference images to guide style or subject consistency

How to use

Tools exposed

• MUSEVATE_API_KEY
• MUSEVATE_MCP_URL
• MUSEVATE_TIMEOUT_MS
• list_models
• quote_video
• generate_video
• check_video
• check_balance

Tested with

Claude Code, ChatGPT

Example client config

{\n  "mcpServers": {\n    "musevate": {\n      "type": "http",\n      "url": "https://musevate.com/api/mcp",\n      "headers": { "Authorization": "Bearer mv_live_..." }\n    }\n  }\n}

Notes

Musevate MCP is a Model Context Protocol server that generates video from a text prompt, an image, or reference images. It provides a unified interface across many AI video models, letting clients send different input types and receive generated video results.

0 stars on GitHub. Last updated 2026-09-13. Licensed MIT.

Use cases

• Generate video clips from text prompts
• Animate a still image into a video
• Use reference images to guide style or subject consistency

Pros

• Supports multiple input modes: prompt, image, reference images
• Model-agnostic design works across many AI video backends
• TypeScript implementation fits standard MCP tooling

Cons

• Zero stars suggest early-stage or unproven project
• Requires external API keys and model availability
• No release or usage documentation beyond the repository description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.