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Glama

MCP WebAnalyzer

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
url_to_markdown_tool

Extract and convert web page content to markdown format.

This tool scrapes a web page, removes unnecessary elements, ranks content by importance using a custom algorithm, and returns clean markdown. Perfect for RAG applications.

Args: url: The web page URL to analyze and convert

Returns: str: Clean markdown representation of the web page content

web_content_qna

Answer questions about web page content using RAG.

This tool combines web scraping with RAG (Retrieval Augmented Generation) to answer specific questions about web page content. It extracts relevant content sections and uses AI to provide accurate answers.

Args: url: The web page URL to analyze question: The question to answer based on the page content

Returns: str: AI-generated answer based on the web page content

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/kimdonghwi94/web-analyzer-mcp'

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