videolab-mcp
by aTreeFrog
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FAL_KEY | No | API key for Fal.ai (OmniHuman talking head) | |
| VEO_MODEL | No | Override the Veo model | |
| VEO_ENDPOINT | No | Override the Veo endpoint | |
| ANTHROPIC_MODEL | No | Override the Anthropic model (e.g., claude-sonnet-4-20250514) | |
| VIDEOLAB_CONFIG | No | Path to videolab.config.json config file | |
| ANTHROPIC_API_KEY | No | API key for Anthropic (script generation) | |
| ELEVENLABS_API_KEY | No | API key for ElevenLabs (voiceover, music generation) | |
| GOOGLE_VEO_API_KEY | No | API key for Google Veo (image animation) | |
| FAL_OMNIHUMAN_MODEL | No | Override the Fal OmniHuman model | |
| VEO_POLL_TIMEOUT_MS | No | Override the Veo poll timeout in milliseconds | |
| VEO_POLL_INTERVAL_MS | No | Override the Veo poll interval in milliseconds | |
| PROMO_VIDEO_LOG_LEVEL | No | Override the log level for promo video assembly (e.g., debug) | |
| ELEVENLABS_MUSIC_MODEL | No | Override the ElevenLabs music model |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/aTreeFrog/videolab-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server