"Outline" matching MCP servers:

Connects MCP clients to Outline workspaces, enabling agents to safely read, update, and manage documentation through structured tools.

Enables MCP clients such as Claude Desktop, Claude Code, and Cursor to search, read, create, update, organize, and archive documents in an Outline wiki, including collections and document trees. It runs locally over stdio with API-token authentication and can optionally allow reversible deletions.

Enables Claude Code to search and retrieve documents from an Outline knowledge base.

Enables interaction with the Outline knowledge base API, allowing search, document and collection management, comments, and more.

Enables querying, searching, and managing documents in an Outline instance via the Model Context Protocol.

A Model Context Protocol server that enables AI agents to manage documents, collections, comments, and users in Outline through its API.

Enables AI coding agents to efficiently explore codebases by providing structural outlines, module digests, symbol bodies, and AST-aware grep via MCP.

Enables LLMs to interact with Outline wiki for document management, search, and collections, with optional AI-powered features including RAG-based Q\&A, semantic search, and document summarization.

Enables LLMs to interact with Outline wiki for document management, search, collections, and comments, with optional AI-powered features including RAG-based Q\&A and content summarization.

Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.

Turns plain text or Markdown, web pages, and local PDFs into editable Markdown outlines that can be rendered as standalone, offline-capable interactive HTML mind maps. Works with any MCP client with no API key required, since the connected model writes the final outline from a draft and cleaned source text.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

SEO articles that sound like your brand — not generic AI output. TopicForge runs a four-stage pipeline — outline, draft, voice, and CTA — to turn topics into publish-ready articles with FAQ schema, meta, and editorial guardrails.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

Official MCP server for ToseaAI that enables document-to-presentation workflows including PDF parsing, outline generation, and slide rendering. It provides a stable tool surface for AI agents to create, manage, and export presentations directly within their environment.

Enables AI agents to access VS Code's LSP-based code navigation and native debugging tools (definitions, references, outline, breakpoints, stepping, stack frames, variables, and evaluate) via the MCP protocol.

Lets AI agents know things about files without reading them, supporting outline, search, slicing, SQL, log clustering, diffs, validation, and extraction for formats like PDF, DOCX, PPTX, XLSX, CSV, logs, and code.

Enables AI assistants to inspect and revise Google Docs through the native Docs API, reading targeted low-token slices of a document and writing edits as tracked suggestions with inline comments and anchors. It supports comment-thread automation, outline and text search, and safe overlap-checked multi-edits.

Enables local-first, offline hybrid retrieval from Markdown notes, MinerU papers, and code via MCP, with BM25 keyword and local vector search, outline-aware chunking, PDF twin-binding, and incremental file watching.

Provides random access to PDF contents with selective page extraction, text search, outline navigation, image extraction, and page rendering capabilities. Reduces token usage by allowing targeted content extraction instead of processing entire documents.