MCP Server Fetch Python
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MODEL_NAME | No | Specifies the model name to use. | gpt-4o |
| OPENAI_API_KEY | Yes | Required for using the `get-markdown-from-media` tool. This key is needed for AI-powered image analysis and content extraction. | |
| PYTHONIOENCODING | No | Set to 'utf-8' if you encounter character encoding issues in the output. | utf-8 |
Schema
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get-raw-text | Extracts raw text content directly from URLs without browser rendering. Ideal for structured data formats like JSON, XML, CSV, TSV, or plain text files. Best used when fast, direct access to the source content is needed without processing dynamic elements. |
| get-rendered-html | Fetches fully rendered HTML content using a headless browser, including JavaScript-generated content. Essential for modern web applications, single-page applications (SPAs), or any content that requires client-side rendering to be complete. |
| get-markdown | Converts web page content to well-formatted Markdown, preserving structural elements like tables and definition lists. Recommended as the default tool for web content extraction when a clean, readable text format is needed while maintaining document structure. |
| get-markdown-from-media | Performs AI-powered content extraction from media files (images and videos) and converts the results to Markdown format. Specialized tool for visual content analysis that utilizes computer vision and OCR capabilities to generate descriptive text from media sources. |