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 |
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": 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 | |
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/1617110693/Image-Parse-MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server