kimi-read-image-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| KIMI_API_KEY | Yes | API key for the target endpoint | |
| KIMI_API_MODEL | No | Model override; defaults to kimi-k2.6 | kimi-k2.6 |
| KIMI_API_BASE_URL | No | OpenAI-compatible base URL; defaults to https://api.moonshot.ai/v1 | https://api.moonshot.ai/v1 |
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 |
|---|---|
| kimi_read_imageC | Analyze a local image file using the configured Kimi-compatible API. |
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 1 tool
With only one tool, there is no possible ambiguity. Agents will always select the correct tool.
The single tool name 'kimi_read_image' follows a clear verb_noun pattern and is consistent with the server name, though pattern consistency is trivially satisfied.
A single tool is too few for a server dedicated to image analysis. Users and agents would expect multiple distinct capabilities (e.g., OCR, object detection, etc.).
The server provides only a generic 'analyze' function, lacking specific operations like listing supported analysis types, extracting text, or identifying objects. This severely limits its usefulness.