Search the web without bloating your context window. This MCP server lets you query live web results while keeping your AI's memory efficient and focused on your task.
io.github.x-hannibal/mcp-webgate
Local install
STDIO
No auth required
How models use it and what it is built for.
Search the web without bloating your context window. This MCP server lets you query live web results while keeping your AI's memory efficient and focused on your task.
Local install — runs as a subprocess.
Where to find authoritative docs and source for X Hannibal MCP Webgate.
Paste any of these into Agent Studio after connecting X Hannibal MCP Webgate.
Common questions about connecting and running X Hannibal MCP Webgate.
How does mcp-webgate differ from just passing raw web content to my AI?
It optimizes how search results are integrated into your context, reducing token overhead while preserving the information your AI needs. This keeps your model focused and reduces latency.
What search engine does mcp-webgate use?
The registry metadata doesn't specify the underlying search provider. Check the project repository or documentation for details on which search API powers the queries.
Do I need an API key or authentication to use mcp-webgate?
The install command suggests a simple `uvx` setup with no explicit auth variables listed in the registry. Refer to the project docs to confirm whether API credentials are required.
Can I filter search results by date, domain, or language?
The registry description doesn't detail filtering options. Review the full documentation or schema to see what query parameters and result refinements are supported.
Is there a rate limit or cost associated with using mcp-webgate?
Pricing and rate limits aren't specified in the available metadata. Check the project repository or documentation for any usage constraints or associated costs.
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