Provides tools for AI agents to search, browse, and retrieve the full documentation for the mcp-framework. It enables agents to access documentation sections and page content directly within MCP-compatible environments like Claude Code and Cursor.
Enables integration with Atlassian Confluence to browse spaces, search content using CQL, and manage pages directly from MCP-compatible applications. It automatically converts Confluence storage formats into markdown for seamless interaction with AI-driven editors and tools.
Enables AI agents to read, write, and maintain documentation through an MCP server, providing tools for asking questions, generating docs, checking drift, and exploring knowledge graph.
Enables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.
Enables interaction with MkDocs documentation through the MCP protocol, allowing AI assistants to read, search, and retrieve documentation content from MkDocs projects.