Web Search
- 5 repo stars
- Updated July 26, 2026
- hec-ovi/websearch-skill
Web Search is a keyless MCP server that runs multi-engine web search, fetch, and clean-Markdown extraction so AI agents can read the web without API keys.
About
Web Search is an MCP server that provides keyless multi-engine web search, page fetching, and clean Markdown extraction for AI agents without API keys. A developer reaches for it when an agent needs current web information, documentation, or page content during planning or debugging and they do not want to configure search API credentials. It is research and retrieval tooling, not deployment control, workflow automation, or social distribution.
- Keyless multi-engine web search with no API keys
- Fetches pages and returns clean Markdown for agents
- Designed for AI agent research workflows
- Removes setup friction for quick web lookups
Web Search by the numbers
- Data as of Jul 27, 2026 (Skillselion catalog sync)
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| repo stars | ★ 5 |
|---|---|
| Package | websearch-skill |
| Transport | STDIO |
| Auth | None |
| Last updated | July 26, 2026 |
| Repository | hec-ovi/websearch-skill ↗ |
How can my AI agent search the web, fetch pages, and read clean Markdown without configuring API keys or separate search services?
Run keyless multi-engine web search, fetch pages, and return clean Markdown for agents without API keys.
Who is it for?
Developers building agent workflows who need frictionless web search and readable page extraction without API key setup.
Skip if: Teams requiring authenticated enterprise search, strict crawl compliance controls, or production analytics instead of agent research retrieval.
What you get
Search results, fetched pages, and clean Markdown content are returned to the agent from multi-engine web queries.
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Does Web Search require API keys?
No. It provides keyless multi-engine web search and fetch for AI agents.
What output format does it return?
It returns clean Markdown read output suitable for agent consumption.
What can agents do with it?
Agents can search the web, fetch pages, and read cleaned content through MCP tools.