kavel-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_kavel_toolsA | Browse or search Kavel's AI photo & video generators (hairstyle changer, figurine, pet portrait, 90s yearbook, dance video, HD photo converter, and more). Use |
| build_kavel_promptA | Get a model-tuned prompt for a specific Kavel tool. Returns Kavel's proven prompt recipe for that effect (tuned for its model), optionally customized with the user's details. Paste the result into the generator on the tool's page. |
| open_in_kavelB | Get the direct URL to a Kavel tool's generator page (on www.kavel.ai), pre-set to the right mode with a tuned prompt, so the user can generate the result. Free-tier models let users generate without paying. |
| list_kavel_modelsA | List the AI models Kavel runs (image and video), what each is good at, and whether it has a free tier. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool targets a distinct step: discovering tools (list_kavel_tools), listing underlying AI models (list_kavel_models), generating a tuned prompt (build_kavel_prompt), and getting a generator URL (open_in_kavel). The tools-vs-models pair could momentarily confuse, but descriptions clearly separate effects/generators from models.
Names follow a verb_kavel_noun snake_case pattern (list_kavel_tools, build_kavel_prompt, list_kavel_models) with only open_in_kavel deviating slightly with a preposition. Conventions are consistent and readable.
Four tools is on the lean side but well-matched to a focused discovery-and-prompt-helper server. Each tool earns its place with no redundancy.
The surface covers the full workflow: discover a tool, inspect available models, build a tuned prompt, and open the generator page. Minor gaps exist (no way to save/track generations), but core flows have no dead ends.