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Build static MCP content servers so AI can reliably access structured data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "static-mcpify" yet — see the docs or source repo.
Convert the product documentation in the docs/ folder into statically deployable Markdown and JSON, and generate the directory structure and index files needed for MCP-style access.
A deployable set of static content files that lets AI agents read the product knowledge base.
Organize help center articles into structured JSON and Markdown, create indexes by topic, tag, and article ID, and make them available for AI assistants to retrieve through MCP.
A topic-organized static content interface that supports fast AI retrieval and article referencing.
Export team policies, processes, and FAQs into static Markdown/JSON files, and generate a content manifest suitable for MCP server access.
A clearly structured static document set that helps AI answer within a fixed knowledge scope.
Convert OpenAPI specs into MCP servers so AI agents can call APIs.
Convert webpages, files, and more into clean structured Markdown.
Turn Markdown files into local MCP servers to define and run tools.
Convert any OpenAPI v3 spec into a working MCP server for AI integration.
Securely read, write, and list files inside AI-driven workflows.
Gives AI file access and project context for full-stack development help.