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1617110693

Image Parse MCP

by 1617110693
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Python
Remote

Image Parse MCP

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A multimodal image analysis MCP server that connects to any OpenAI-compatible vision API. Provide an image (URL, local path, or base64) and a prompt — get back a detailed analysis from the multimodal LLM of your choice.

Supported Providers

Any provider with an OpenAI-compatible chat completions endpoint:

  • OpenAI — GPT-4o, GPT-4-vision, GPT-4.1-mini

  • Anthropic (via compatible proxy / gateway)

  • Google Gemini (via OpenAI-compatible endpoint)

  • Azure OpenAI

  • Local models (Ollama, vLLM, LM Studio with OpenAI-compatible servers)

  • Alibaba Bailian — Qwen-VL (via OpenAI-compatible endpoint)

  • Third-party (DeepSeek, Groq, Together.ai, OpenRouter, etc.)

Related MCP server: Vision MCP

Configuration

Set these environment variables before launching the server:

Variable

Required

Default

Description

IMAGE_PARSE_API_KEY

Yes

—

API key for your provider

IMAGE_PARSE_BASE_URL

No

https://api.openai.com/v1

API base URL

IMAGE_PARSE_MODEL

No

gpt-4o

Multimodal model name

Example: OpenAI

export IMAGE_PARSE_API_KEY=sk-...
export IMAGE_PARSE_BASE_URL=https://api.openai.com/v1
export IMAGE_PARSE_MODEL=gpt-4o

Example: Google Gemini (via AI Studio)

export IMAGE_PARSE_API_KEY=your-gemini-api-key
export IMAGE_PARSE_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
export IMAGE_PARSE_MODEL=gemini-2.5-flash

Example: Ollama (local)

export IMAGE_PARSE_API_KEY=ollama
export IMAGE_PARSE_BASE_URL=http://localhost:11434/v1
export IMAGE_PARSE_MODEL=llava

Example: Azure OpenAI

export IMAGE_PARSE_API_KEY=your-azure-api-key
export IMAGE_PARSE_BASE_URL=https://your-resource.openai.azure.com/openai/deployments/your-deployment
export IMAGE_PARSE_MODEL=gpt-4o

Example: Alibaba Bailian (Qwen-VL)

export IMAGE_PARSE_API_KEY=your-dashscope-api-key
export IMAGE_PARSE_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
export IMAGE_PARSE_MODEL=qwen-vl-max

Example: DeepSeek

export IMAGE_PARSE_API_KEY=your-deepseek-api-key
export IMAGE_PARSE_BASE_URL=https://api.deepseek.com/v1
export IMAGE_PARSE_MODEL=deepseek-chat

Install & Run

# Clone or enter the project directory
cd image-parse

# Run directly (uv handles venv + deps automatically)
uv run image-parse-mcp

Claude Code Configuration

Add to your Claude Code MCP config (~/.claude/claude.json or project .mcp.json):

{
  "mcpServers": {
    "image-parse": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "--directory", "path/to/image-parse", "image-parse-mcp"],
      "env": {
        "IMAGE_PARSE_API_KEY": "sk-...",
        "IMAGE_PARSE_BASE_URL": "https://api.openai.com/v1",
        "IMAGE_PARSE_MODEL": "gpt-4o"
      }
    }
  }
}

Tool: analyze_image

Parameter

Required

Description

image_source

Yes

URL, local file path, base64 string, or data URI

prompt

Yes

What to analyze / extract from the image

mime_type

No

Override auto-detected MIME type (e.g. image/webp)

What agents use it for

  • Describe the contents of an image

  • Extract text from a screenshot (OCR)

  • Read and interpret charts, graphs, data visualizations

  • Analyze UI screenshots (layout, elements, issues)

  • Identify objects, colours, people, or scenes in photos

  • Compare visual information across multiple images

  • Diagnose errors from error screenshots

Input forms for image_source

# URL
https://example.com/screenshot.png

# Local file path (on the host machine)
/Users/me/Downloads/chart.png

# Base64 data URI
data:image/png;base64,iVBORw0KGgo...

# Raw base64
iVBORw0KGgo...

Development

# Create venv and install deps
uv venv
uv pip install -e .

# Run tests
uv run python -m pytest
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A
license - permissive license
A
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