mcp-outline
Related Servers
Alternatives to mcp-outline
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that enables AI agents to manage documents, collections, comments, and users in Outline through its API.529 npm120MIT
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables AI assistants like Claude to interact with Outline document services, supporting document searching, reading, creation, editing, and comment management.38303 PyPI156MIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server that exposes an Outline knowledge base to MCP clients. It enables searching, reading, writing, and commenting on documents through natural language.9-
- AlicenseAqualityFmaintenanceAn MCP server that enables reading, writing, and searching documents in Outline via its API. It supports document management, full-text search, and collection organization using Markdown formatting.824 npm17MIT
- AlicenseAqualityDmaintenanceEnables querying, searching, and managing documents in an Outline instance via the Model Context Protocol.824 npm1MIT
- AlicenseAqualityBmaintenanceEnables 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.915 npmMIT
TDQS
Scored across 30 tools
The tools cover distinct areas like documents, collections, comments, search, and batch operations, with clear boundaries. However, the presence of multiple batch tools and the overlap between archive/unarchive and delete/restore could cause slight confusion.
All tool names follow a consistent snake_case verb_noun pattern (e.g., add_comment, create_collection, search_documents). Even complex names like ask_ai_about_documents adhere to the pattern, ensuring predictability.
With 30 tools, the server covers a comprehensive range of operations for a knowledge base application. While slightly above the typical sweet spot, each tool serves a clear purpose and the count is justified by the feature set.
The tool set provides full CRUD for documents and collections, plus archiving, moving, commenting, searching, exporting, and batch operations. The inclusion of AI query and backlink detection adds advanced functionality, leaving no obvious gaps for document management.