The Documentation MCP Server gives AI assistants structured access to documentation across Markdown and OpenAPI files, with both an MCP endpoint for AI clients and a web interface for browsing.

• Full-text search (search_documentation): Search with relevance scoring, optional category filtering, configurable result limits, and hierarchical breadcrumb context.

• Navigate documentation (navigate_to): Navigate to a specific URI (e.g., docs://guides/security) and retrieve parent, children, and breadcrumb context.

• Table of contents (get_table_of_contents): Retrieve the complete documentation hierarchy as a tree, with an optional max depth parameter.

• Retrieve a document (get_document): Fetch the full content and metadata for any document by its URI.

• Tag-based search (search_by_tags): Find documents by metadata tags (OR logic) with optional category filtering and result limits.

• List all tags (get_all_tags): Get all unique tags across documentation, with optional category filtering and document counts per tag.

• Generate PDF : Export all documentation as a PDF (requires optional PDF dependency).

Enables AI assistants to navigate and search documentation organized in markdown files, supporting hierarchical structures and YAML frontmatter for metadata extraction.

Provides support for parsing and querying documentation written in the MDX format, allowing assistants to access structured content and associated metadata.

Supports the loading and querying of OpenAPI 3.x specifications in YAML format and enables the extraction of document metadata from YAML frontmatter.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Documentation MCP Server search for the getting started guide and summarize the setup steps"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.