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Search the web, fetch pages, and return clean Markdown without API keys.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Web Search" MCP server from askskill: Run: claude mcp add 'io-github-hec-ovi-web-search' -- uvx websearch-skill
Developers can use it to give AI agents multi-engine web search without requiring API keys. It is useful for adding live web context to model workflows.
Researchers or product managers can fetch a webpage and get cleaned Markdown when they need the main content quickly. This makes summarization, quoting, and analysis easier.
In automated workflows, it can search for relevant pages, fetch them, and clean the text content. It fits well with other AI steps for information gathering tasks.
It is an MCP tool for AI agents that provides multi-engine web search, page fetching, and cleaned Markdown output.
Based on the provided description, it works without API keys. Other authentication or deployment details are not specified in the given materials.
Beyond search, it can also fetch webpages and return cleaned Markdown, making the results easier for AI to read and process. For deeper implementation differences, see the source repository.
Give AI agents keyless web access, search, and asset retrieval.
Search the live web and fetch clean page content for fast research.
Lets AI agents search the web, find news, and read pages.
Lets AI agents stealth-search the web and extract clean Markdown content.
Enable AI agents to search the web and extract useful page content.
Let AI agents search the web and extract webpage content.