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Connect to Outline to search, manage documents and collections, and handle comments.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-outline" yet — see the docs or source repo.
Search the Outline knowledge base for "OKR retrospective template" and return the most relevant document titles and summaries.
A list of matching knowledge base documents with brief summaries.
List all product documentation collections in Outline and show the number of documents in each collection.
A collection list with document counts to help organize the knowledge structure.
Find Outline documents with recent comments and summarize the key points from those comments.
A list of documents with comments and a short summary of the discussion.
Product managers, operations staff, or office workers can search Outline documents directly when they need existing internal knowledge, reducing manual lookup time.
When a team needs to organize documentation, it can view and manage documents and collections in Outline to keep the knowledge base structured.
Teams involved in collaborative review can use the comment-related capabilities to inspect or handle document discussions and track feedback.
It is used to interact with the Outline knowledge base API. Based on the description, it supports search, document and collection management, and comment-related actions.
From the description, it supports more than search: it also covers document and collection management as well as comment-related operations. For exact editable objects and permission requirements, see the source repository.
It is known to depend on the Outline knowledge base API, but no installation documentation is provided here. For runtime, authentication, or environment requirements, see the source repository.
Search, query, and manage team documents in an Outline workspace.
Connect AI assistants to search, read, and manage Outline documents.
Connect a tree-structured knowledge base through MCP for organized information management.
Let AI assistants manage and search a Markdown knowledge base via MCP.
Connect to Capacities to search, create content, save links, and analyze knowledge.
Search, validate, and cross-reference structured Markdown knowledge vaults for AI workflows.