F
licenseC
qualityNot graded
maintenanceEnables 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.
37
383 npm
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Outline Wiki MCP Server
by huiseo
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- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to interact with Outline documentation services, supporting document search, reading, creation, editing, archiving, collection management, comments, backlinks, and direct content access.-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to manage documents and collections in Outline wiki through natural language commands.1ISC
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to interact with Outline documentation services, including searching, reading, creating, editing, and archiving documents, managing collections and comments, and finding backlinks.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to interact with Outline document management services, allowing users to search, read, create, edit, and archive documents, manage collections and comments, and find backlinks through natural language.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to interact with Outline documentation services by searching, reading, creating, editing, and archiving documents, managing collections, and working with comments and backlinks.-
TDQS
B3.2/5.0
Scored across 37 tools
Disambiguation4/5
Most tools have distinct purposes, but some overlap exists. For example, 'search_documents' and 'find_related' both involve document discovery, though 'find_related' is semantic. 'archive_document' and 'delete_document' (with permanent=false) both involve removal, but descriptions clarify differences. Overall, descriptions help, but a few tools could be confused without careful reading.
Naming Consistency5/5
Tool names follow a highly consistent verb_noun pattern throughout, such as 'create_document', 'list_collections', 'update_document', and 'delete_collection'. All tools use snake_case, and verbs are predictable (e.g., add, archive, ask, batch, create, delete, export, get, list, move, restore, search, sync, unarchive, update). No deviations or mixed conventions are present.
Tool Count3/5
With 37 tools, the count is borderline high for a wiki server, feeling heavy compared to typical well-scoped sets of 3-15 tools. While the tools cover extensive operations, it may overwhelm agents. However, given the domain's complexity, it's not extreme, but leans toward too many for optimal coherence.
Completeness5/5
The tool set provides complete CRUD/lifecycle coverage for documents and collections, including creation, reading, updating, deletion, archiving, restoration, and export. It also includes advanced features like AI-powered search, summarization, diagram generation, and batch operations. No obvious gaps exist; agents can handle all core wiki workflows without dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues