Skip to main content
Glama
MiniMax-AI

MiniMax MCP Server

Official
by MiniMax-AI
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

generate_video

Generate videos from text prompts or images using AI models. Choose camera movement options for dynamic shots.

Instructions

Generate a video from a prompt.

COST WARNING: This tool makes an API call to Minimax which may incur costs. Only use when explicitly requested by the user.

 Args:
    model (str, optional): The model to use. Values range ["T2V-01", "T2V-01-Director", "I2V-01", "I2V-01-Director", "I2V-01-live"]. "Director" supports inserting instructions for camera movement control. "I2V" for image to video. "T2V" for text to video.
    prompt (str): The prompt to generate the video from. When use Director model, the prompt supports 15 Camera Movement Instructions (Enumerated Values)
        -Truck: [Truck left], [Truck right]
        -Pan: [Pan left], [Pan right]
        -Push: [Push in], [Pull out]
        -Pedestal: [Pedestal up], [Pedestal down]
        -Tilt: [Tilt up], [Tilt down]
        -Zoom: [Zoom in], [Zoom out]
        -Shake: [Shake]
        -Follow: [Tracking shot]
        -Static: [Static shot]
    first_frame_image (str): The first frame image. The model must be "I2V" Series.
    output_directory (str, optional): The directory to save the video to.
Returns:
    Text content with the path to the output video file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoT2V-01
promptNo
output_directoryNo
first_frame_imageNo

Tool Definition Quality

A4.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses API call cost and model-specific behavior (camera instructions), but lacks info on rate limits, auth, or what gets destroyed. Adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with cost warning upfront and parameter details indented. Slightly lengthy but every part is useful; could be more concise but not overly verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, description explains return value (path). All 4 parameters are described, and behavior for different models is covered. Complete for this tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, description fully explains all parameters: model values meaning, prompt camera instructions, first_frame_image for I2V, and output_directory. Adds substantial value beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Generate a video from a prompt' with a specific verb and resource. It distinguishes from sibling tools (list_voices, play_audio, etc.) which handle audio or images, making video generation unique.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Includes a cost warning explicitly stating to use only when requested, plus details on when to choose Director vs I2V models. Provides clear context for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MiniMax-AI/MiniMax-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server