Image Parse MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| IMAGE_PARSE_MODEL | No | Multimodal model name | gpt-4o |
| IMAGE_PARSE_API_KEY | Yes | API key for your provider | |
| IMAGE_PARSE_BASE_URL | No | API base URL | https://api.openai.com/v1 |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | Analyze an image with a multimodal LLM (GPT-4o, Claude, Gemini, etc.). Provide an image (URL, local path, or base64) and a description of what you want to know. The tool calls an OpenAI-compatible vision API and returns the model's text response. Use this tool whenever you have an image and need to:
Args: params (AnalyzeImageInput): - image_source (str): URL, local file path, or base64 image data. - prompt (str): What to analyze or extract from the image. - mime_type (Optional[str]): Override auto-detected MIME type. Returns: str: The multimodal model's analysis as plain text / Markdown. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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