Enables AI agents to publish static sites and build folders as live websites, push updates, provision and manage custom domains with DNS, and send transactional email. Ships as a local pip/uvx server that reads build folders directly, or as a hosted HTTP endpoint for Claude Code, Claude Desktop, and other MCP clients.
11
MIT
Why this server?
Generates and builds React-based documentation sites with modern templates and static site generation capabilities.
Generates professional documentation for multi-language projects with deep code analysis, supporting frameworks like Docusaurus, MkDocs, and Sphinx, including API docs, PDF export, and OpenAPI specifications.
9
MIT
Why this server?
Auto-detects Docusaurus as a documentation platform and provides tools for documentation lifecycle management including quality assessment and synchronization.
Comprehensive documentation lifecycle management powered by an MCP server. Automates documentation creation, maintenance, quality assessment, and synchronization for software projects.
8
6
MIT
Why this server?
Provides search and content retrieval capabilities for Docusaurus documentation sites, including querying docs, listing available content, and fetching markdown files with frontmatter.
Provides access to pdfdancer documentation through search and content retrieval tools, connecting to a Docusaurus search worker to query indexed docs and retrieve markdown content.
4
4 npm
1
MIT
Why this server?
Generates React-based documentation structures, creates pages, builds static sites, and provides live preview for Docusaurus projects.
Generates professional documentation for multi-language codebases with deep AST-based code analysis, supporting Docusaurus, MkDocs, and Sphinx frameworks. Includes API documentation generation, PDF export, OpenAPI spec generation, and sales-ready documentation for code marketplaces.
9
MIT
Why this server?
Plugin that automatically indexes the documentation site in AgentReady on every build, keeping the AI discovery layer up to date.
ake any website queryable by AI agents. Index a site then ask questions and get cited answers grounded in its content via RAG. Two tools: list_sites and ask_site.
2
120 npm
2
MIT
Why this server?
Enables crawling and ingesting Docusaurus documentation sites through sitemap.xml discovery, including sitemap index flattening, to build a searchable knowledge graph.
Turns any website URL into a crawled markdown corpus and knowledge graph, then exposes it to AI agents over MCP. Enables full-text search, full page retrieval, subgraph neighbor expansion, and site statistics so agents can answer questions grounded in a specific site's documentation.
10
MIT
Why this server?
Supports adding Clarvivo analytics to Docusaurus documentation sites.
Lets coding agents set up Clarvivo analytics directly by detecting the app framework, creating or reusing the appropriate project, returning the exact snippet, and verifying real traffic.
11
14 npm
1
MIT
Why this server?
Automatically detects and crawls Docusaurus-based documentation sites, extracting core content and converting it to Markdown for LLM ingestion.
Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.
