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Expose Hugo blog llms files as tools AI assistants can query.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hugo-llms-mcp" yet — see the docs or source repo.
After connecting to hugo-llms-mcp, read my Hugo blog's llms.txt and llms-full.txt, then summarize the site's themes, main sections, target audience, and representative content.
A structured site overview that helps the AI quickly understand the blog's scope and focus.
Use hugo-llms-mcp to query my blog content and answer: Which articles are about performance optimization? Group them by topic and provide brief notes.
A topic-grouped list of relevant articles with short summaries for retrieval and citation.
Using the blog structure from hugo-llms-mcp, create a context prompt for a writing assistant that includes site tone, core themes, common terminology, and boundaries it should not drift from.
A reusable assistant context prompt that keeps future content aligned with the blog's positioning.
Create, manage, and deploy Hugo static sites from one MCP tool.
Search external information through an MCP server for LLM-powered agents.
Deploy MCP servers over HTTP for AI-accessible text, math, and content tools.
Turn local Markdown knowledge into searchable context for AI coding agents.
Manage remote llms.txt files with create, edit, delete, list, and retrieval.
Search official library docs and return clean text ready for LLM use.