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by Vortiago • Uncategorized
A Model Context Protocol server for interacting with Outline document management.
Search, read, and manage documents within Outline.
Handle document collections and hierarchies programmatically.
Collaborate via comments and track document backlinks.
This MCP server enables seamless interaction with Outline, a document management platform, allowing users to search, read, create, edit, archive documents, manage collections, and collaborate via comments. It supports direct content access through MCP resources and handles API rate limiting automatically. The server can be used locally or via Docker and integrates with various MCP clients for enhanced document workflows.
Searches for documents using keywords or phrases across your knowledge base. IMPORTANT: The search performs full-text search across all document content and titles. Results are ranked by relevance, with exact matches and title matches typically ranked higher. The search will return snippets of content (context) where the search terms appear in the document. You can limit the search to a specific collection by providing the collection_id. PAGINATION: By default, returns up to 25 results at a time. If more results exist, use the 'offset' parameter to fetch additional pages. For example, use offset=25 to get results 26-50, offset=50 for 51-75, etc. Use this tool when you need to: - Find documents containing specific terms or topics - Locate information across multiple documents - Search within a specific collection using collection_id - Discover content based on keywords - Browse through large result sets using limit and offset Args: query: Search terms (e.g., "vacation policy" or "project plan") collection_id: Optional collection to limit the search to limit: Maximum results to return (default: 25, max: 100) offset: Number of results to skip for pagination (default: 0) Returns: Formatted string containing search results with document titles, contexts, and pagination information
Retrieves and displays all available collections in the workspace. Use this tool when you need to: - See what collections exist in the workspace - Get collection IDs for other operations - Explore the organization of the knowledge base - Find a specific collection by name Args: limit: Maximum number of results to return offset: Number of results to skip (pagination) Returns: Formatted string containing collection names, IDs, and descriptions If the response contains as many collections as the limit, execute the tool again with an increased offset to check for more results.
Retrieves the hierarchical document structure of a collection. Use this tool when you need to: - Understand how documents are organized in a collection - Find document IDs within a specific collection - See the parent-child relationships between documents - Get an overview of a collection's content structure Args: collection_id: The collection ID to examine Returns: Formatted string showing the hierarchical structure of documents
Locates a document ID by searching for its title. IMPORTANT: This tool first checks for exact title matches (case-insensitive). If none are found, it returns the best partial match instead. This is useful when you're not sure of the exact title but need to reference a document in other operations. Results are more accurate when you provide more of the actual title in your query. Use this tool when you need to: - Find a document's ID when you only know its title - Get the document ID for use in other operations - Verify if a document with a specific title exists - Find the best matching document if exact title is unknown Args: query: Title to search for (can be exact or partial) collection_id: Optional collection to limit the search to Returns: Document ID if found, or best match information
Retrieves and displays the full content of a document. Use this tool when you need to: - Access the complete content of a specific document - Review document information in detail - Quote or reference document content - Analyze document contents Args: document_id: The document ID to retrieve Returns: Formatted string containing the document title and content
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