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Outline MCP Server

PYPI · MCP-OUTLINE · SCANNED SEP 21

Connect AI assistants to Outline for document search, reading, and management

Available components

+15 this week 77 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 0 of 29 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency32
Schema Quality & AI Usability69
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 6540 tokens (~172/item across 38 items; 38 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
  • Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 39 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Outline MCP Server server?

Outline MCP Server runs locally as a PyPI package, launched with uvx mcp-outline. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · mcp-outline

# add to Claude Code
claude mcp add vortiago-mcp-outline -- uvx mcp-outline
// .cursor/mcp.json
{
  "mcpServers": {
    "vortiago-mcp-outline": {
      "command": "uvx",
      "args": [
        "mcp-outline"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "vortiago-mcp-outline": {
      "command": "uvx",
      "args": [
        "mcp-outline"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add vortiago-mcp-outline -- uvx mcp-outline
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "vortiago-mcp-outline": {
      "type": "local",
      "command": [
        "uvx",
        "mcp-outline"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add vortiago-mcp-outline --command uvx --arg mcp-outline
# ~/.hermes/config.yaml
mcp_servers:
  vortiago-mcp-outline:
    command: "uvx"
    args: ["mcp-outline"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "vortiago-mcp-outline": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "mcp-outline"
      ]
    }
  }
}
# add to Vellum
assistant mcp add vortiago-mcp-outline -t stdio -c uvx -a mcp-outline
// mcp.json
{
  "mcpServers": {
    "vortiago-mcp-outline": {
      "command": "uvx",
      "args": [
        "mcp-outline"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Sept 26 +12
    • Malware scan: unverified → pass security
    • Stability: pass → 0.80 functional
  • 17 Sept 26 −14
    • Malware scan: pass → unverified security
    • Stability: 0.97 → pass security
  • 15 Sept 26 +16
    • Malware scan: unverified → pass security
  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 11 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 10 Sept 26 +1
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 21 Sept 2026 · Analysed pypi/mcp-outline@1.10.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Dependencies 29 packages
Packages resolved 29
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 38 exposed · ~6,348 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
add_comment ~131

Adds a comment to a document or replies to an existing comment. Use this tool when you need to: - Provide feedback on document content - Ask questions about specific information - Reply to another user's comment - Collaborate with others on document development Args: document_id: The document to comment on text: The comment text (supports markdown) parent_comment_id: Optional parent comment ID (for replies) Returns: Result message with the new comment ID

NameTypeReqDescription
document_idstringyes
parent_comment_id
textstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

archive_document ~131

Archives a document to remove it from active use while preserving it. IMPORTANT: Archived documents are removed from collections but remain searchable in the system. They won't appear in normal collection views but can still be found through search or the archive list. Use this tool when you need to: - Remove outdated or inactive documents from view - Clean up collections while preserving document history - Preserve documents that are no longer relevant - Temporarily hide documents without deleting them Args: document_id: The document ID to archive Returns: Result message confirming archival

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

ask_ai_about_documents ~146

Queries document content using natural language questions. Use this tool when you need to: - Find specific information across multiple documents - Get direct answers to questions about document content - Extract insights from your knowledge base - Answer questions like "What is our vacation policy?" - Answer "How do we onboard new clients?" and similar queries Args: question: The natural language question to ask collection_id: Optional collection to limit the search to document_id: Optional document to limit the search to Returns: AI-generated answer based on document content with sources

NameTypeReqDescription
collection_id
document_id
questionstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

batch_archive_documents ~157

Archives multiple documents in a single batch operation. This tool processes each document sequentially, continuing even if individual operations fail. Rate limiting is handled automatically by the Outline client. IMPORTANT: Archived documents are removed from collections but remain searchable. They won't appear in normal collection views but can still be found through search or the archive list. Use this tool when you need to: - Archive multiple outdated documents at once - Clean up collections in bulk - Batch hide documents without deleting them Recommended batch size: 10-50 documents per operation Args: document_ids: List of document IDs to archive Returns: Summary of batch operation with success/failure details

NameTypeReqDescription
document_idsarrayyes
NameTypeReqDescription
resultstringyes

No examples provided.

batch_create_documents ~148

Creates multiple documents in a single batch operation. This tool processes each creation sequentially, continuing even if individual operations fail. Rate limiting is handled automatically. Use this tool when you need to: - Create multiple documents at once - Bulk import content into collections - Set up document structures efficiently Note: For Mermaid diagrams, use ```mermaidjs (not ```mermaid) as the code fence language identifier for proper rendering. Recommended batch size: 10-50 documents per operation Args: documents: List of document specifications Returns: Summary of batch operation with created document IDs and success/failure details

NameTypeReqDescription
documentsarrayyes
NameTypeReqDescription
resultstringyes

No examples provided.

batch_delete_documents ~179

Deletes multiple documents, moving them to trash or permanently. This tool processes each document sequentially, continuing even if individual operations fail. Rate limiting is handled automatically. IMPORTANT: When permanent=False (the default), documents are moved to trash and retained for 30 days. Setting permanent=True bypasses trash and immediately deletes documents without recovery option. Use this tool when you need to: - Remove multiple unwanted documents at once - Clean up workspace in bulk - Permanently delete sensitive information (with permanent=True) Recommended batch size: 10-50 documents per operation Args: document_ids: List of document IDs to delete permanent: If True, permanently deletes without recovery option Returns: Summary of batch operation with success/failure details

NameTypeReqDescription
document_idsarrayyes
permanentboolean
NameTypeReqDescription
resultstringyes

No examples provided.

batch_move_documents ~196

Moves multiple documents to a different collection or parent. This tool processes each document sequentially, continuing even if individual operations fail. Rate limiting is handled automatically. IMPORTANT: When moving documents that have child documents, all children will move along with them, maintaining hierarchical structure. You must specify either collection_id or parent_document_id (or both). Use this tool when you need to: - Reorganize multiple documents at once - Move documents between collections in bulk - Restructure document hierarchies efficiently Recommended batch size: 10-50 documents per operation Args: document_ids: List of document IDs to move collection_id: Target collection ID (optional) parent_document_id: Target parent document ID (optional) Returns: Summary of batch operation with success/failure details

NameTypeReqDescription
collection_id
document_idsarrayyes
parent_document_id
NameTypeReqDescription
resultstringyes

No examples provided.

batch_update_documents ~143

Updates multiple documents with different changes. This tool processes each update sequentially, continuing even if individual operations fail. Rate limiting is handled automatically. Use this tool when you need to: - Update multiple documents with different changes - Batch edit document titles or content - Append content to multiple documents Note: For Mermaid diagrams, use ```mermaidjs (not ```mermaid) as the code fence language identifier for proper rendering. Recommended batch size: 10-50 documents per operation Args: updates: List of update specifications Returns: Summary of batch operation with success/failure details

NameTypeReqDescription
updatesarrayyes
NameTypeReqDescription
resultstringyes

No examples provided.

create_collection ~139

Creates a new collection for organizing documents. Use this tool when you need to: - Create a new section or category for documents - Set up a workspace for a new project or team - Organize content by department or topic - Establish a separate space for related documents Args: name: Name for the collection description: Optional description of the collection's purpose color: Optional hex color code for visual identification (e.g. #FF0000) Returns: Result message with the new collection ID

NameTypeReqDescription
color
descriptionstring
namestringyes
NameTypeReqDescription
resultstringyes

No examples provided.

create_document ~267

Creates a new document in a specified collection. Use this tool when you need to: - Add new content to a knowledge base - Create documentation, guides, or notes - Add a child document to an existing parent - Start a new document thread or topic - Create a reusable template document Note: For Mermaid diagrams, use ```mermaidjs (not ```mermaid) as the code fence language identifier for proper rendering. Args: title: The document title collection_id: The collection ID to create in text: Optional markdown content for the document parent_document_id: Optional parent document ID for nesting publish: Whether to publish immediately (True) or save as draft (False) template: If True, creates the document as a template icon: Optional emoji character to use as the document icon (e.g. "📋", "🚀"). If None, no icon is set. Returns: Result message with the new document ID

NameTypeReqDescription
collection_idstringyes
icon
parent_document_id
publishboolean
template
textstring
titlestringyes
NameTypeReqDescription
resultstringyes

No examples provided.

delete_collection ~102

Permanently removes a collection and all its documents. Use this tool when you need to: - Remove an entire section of content - Delete obsolete project collections - Remove collections that are no longer needed - Clean up workspace organization WARNING: This action cannot be undone and will delete all documents within the collection. Args: collection_id: The collection ID to delete Returns: Result message confirming deletion

NameTypeReqDescription
collection_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

delete_document ~174

Moves a document to trash or permanently deletes it. IMPORTANT: When permanent=False (the default), documents are moved to trash and retained for 30 days before being permanently deleted. During this period, they can be restored using the restore_document tool. Setting permanent=True bypasses the trash and immediately deletes the document without any recovery option. Use this tool when you need to: - Remove unwanted or unnecessary documents - Delete obsolete content - Clean up workspace by removing documents - Permanently remove sensitive information (with permanent=True) Args: document_id: The document ID to delete permanent: If True, permanently deletes the document without recovery option Returns: Result message confirming deletion

NameTypeReqDescription
document_idstringyes
permanentboolean
NameTypeReqDescription
resultstringyes

No examples provided.

edit_document ~263

Edits a document using string-match replacement. Each edit finds a unique old_string in the document and replaces it with new_string. Edits are applied server-side — you never need to hold the full document in context. IMPORTANT: Batch all edits for a document into a single call when possible to minimize API calls. Each old_string must uniquely match one location in the document. Include surrounding context if needed to disambiguate. Edits are applied sequentially, so later edits can target text created by earlier edits in the same batch. If any edit fails, no changes are applied (all-or-nothing). By default (save=True), changes are pushed to Outline immediately. Set save=False to stage changes locally for large rewrites spanning multiple calls, then pass save=True on the final call to push all accumulated changes. Args: document_id: The document ID to edit edits: List of edits to apply save: If True (default), push changes to Outline immediately. If False, stage locally. Returns: Summary of edits applied and save status

NameTypeReqDescription
document_idstringyes
editsarrayyes
saveboolean
NameTypeReqDescription
resultstringyes

No examples provided.

export_all_collections ~179

Exports the entire workspace content to a downloadable file. IMPORTANT: This tool starts an asynchronous export operation which may take time to complete, especially for large workspaces. The function returns information about the operation, including its status. When the operation is complete, the file can be downloaded or accessed via Outline's UI. The export includes all collections, documents, and their hierarchies in the specified format. Use this tool when you need to: - Create a complete backup of all workspace content - Migrate content to another system - Archive all workspace documents - Get a comprehensive export of knowledge base Args: format: Export format ("outline-markdown", "json", or "html") Returns: Information about the export operation and how to access the file

NameTypeReqDescription
formatstring
NameTypeReqDescription
resultstringyes

No examples provided.

export_collection ~190

Exports all documents in a collection to a downloadable file. IMPORTANT: This tool starts an asynchronous export operation which may take time to complete. The function returns information about the operation, including its status. When the operation is complete, the file can be downloaded or accessed via Outline's UI. The export preserves the document hierarchy and includes all document content and structure in the specified format. Use this tool when you need to: - Create a backup of collection content - Share collection content outside of Outline - Convert collection content to other formats - Archive collection content for offline use Args: collection_id: The collection ID to export format: Export format ("outline-markdown", "json", or "html") Returns: Information about the export operation and how to access the file

NameTypeReqDescription
collection_idstringyes
formatstring
NameTypeReqDescription
resultstringyes

No examples provided.

export_document ~90

Exports a document as plain markdown text. Use this tool when you need to: - Get clean markdown content without formatting - Extract document content for external use - Process document content in another application - Share document content outside Outline Args: document_id: The document ID to export Returns: Document content in markdown format without additional formatting

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

fetch_attachment ~204

Fetch attachment content and return it as base64. Calls attachments.redirect, follows the redirect, and returns the raw file content encoded as base64. Useful for images and files that agents can process. Use this tool when you need to: - Read PDF content from Outline documents - Process embedded images - Analyze files referenced in documents - Enable AI tools to work with all document content Args: attachment_id: The attachment UUID Returns: Multi-line string in this format (blank line after Content-Length / before Content-Base64): Content-Type: <mime-type> Content-Length: <bytes> Content-Base64: <base64-encoded-data> Note: For large files (e.g. multi-MB PDFs), the base64 output may hit token limits. Prefer get_attachment_url to obtain a download URL for large attachments, then fetch externally.

NameTypeReqDescription
attachment_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

get_attachment_url ~105

Resolve an attachment ID to a downloadable URL. Calls attachments.redirect and returns the final URL after the redirect. Allows clients/agents to fetch the file themselves. Use this tool when you need to: - Get a direct URL to download an attachment - Share or reference an attachment URL - Let another system fetch the file Args: attachment_id: The attachment UUID Returns: The redirect URL (signed download URL)

NameTypeReqDescription
attachment_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

get_collection_structure ~100

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

NameTypeReqDescription
collection_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

get_comment ~117

Retrieves a specific comment by its ID. Use this tool when you need to: - View details of a specific comment - Reference or quote a particular comment - Check comment content and metadata - Find a comment mentioned elsewhere Args: comment_id: The comment ID to retrieve include_anchor_text: Whether to include the document text that the comment refers to Returns: Formatted string with the comment content and metadata

NameTypeReqDescription
comment_idstringyes
include_anchor_textboolean
NameTypeReqDescription
resultstringyes

No examples provided.

get_document_backlinks ~102

Finds all documents that link to a specific document. Use this tool when you need to: - Discover references to a document across the workspace - Identify dependencies between documents - Find documents related to a specific document - Understand document relationships and connections Args: document_id: The document ID to find backlinks for Returns: Formatted string listing all documents that link to the specified document

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

get_document_id_from_title ~201

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

NameTypeReqDescription
collection_id
querystringyes
NameTypeReqDescription
resultstringyes

No examples provided.

get_document_toc ~121

Returns the heading structure of a document as a table of contents with line numbers. Use this tool when you need to: - Understand the structure of a large document - Find specific sections before reading them - Navigate a document by its headings Line numbers in the output can be used with read_document(offset=...) or read_document_section(heading=...) to read specific parts. Args: document_id: The document ID Returns: Formatted table of contents with line numbers

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

list_archived_documents ~70

Displays all documents that have been archived. Use this tool when you need to: - Find specific archived documents - Review what documents have been archived - Identify documents for possible unarchiving - Check archive status of workspace content Returns: Formatted string containing list of archived documents

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes

No examples provided.

list_collections ~142

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.

NameTypeReqDescription
limitinteger
offsetinteger
NameTypeReqDescription
resultstringyes

No examples provided.

list_document_attachments ~121

List attachment IDs referenced in a document. Parses document content for attachment references (e.g. /api/attachments.redirect?id=<uuid>) and returns a list of attachment IDs with context snippets. Use this tool when you need to: - Discover attachments within a document - Find attachment IDs for use with get_attachment_url or fetch_attachment - Audit what files a document references Args: document_id: The document ID to scan Returns: Formatted list of attachment IDs and context

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

list_document_comments ~233

Retrieves comments on a specific document with pagination support. IMPORTANT: By default, this returns up to 25 comments at a time. If there are more than 25 comments on the document, you'll need to make multiple calls with different offset values to get all comments. The response will indicate if there are more comments available. Use this tool when you need to: - Review feedback and discussions on a document - See all comments from different users - Find specific comments or questions - Track collaboration and input on documents Args: document_id: The document ID to get comments from include_anchor_text: Whether to include the document text that comments refer to limit: Maximum number of comments to return (default: 25) offset: Number of comments to skip for pagination (default: 0) Returns: Formatted string containing comments with author, date, and optional anchor text

NameTypeReqDescription
document_idstringyes
include_anchor_textboolean
limitinteger
offsetinteger
NameTypeReqDescription
resultstringyes

No examples provided.

list_recently_updated_documents ~388

Lists documents ordered by most recent change (newest first). Answers questions like "what changed this week" without needing search keywords. Backed by Outline's search endpoint with an empty query, sorted by last-modified time. IMPORTANT: date_filter is a coarse server-side window on each document's last-modified time. It accepts only "day", "week", "month", or "year" (no arbitrary timestamps) and defaults to "week". Results are ordered newest-changed first. STATUS FILTER: By default this lists published documents only. Pass status_filter to include other states. Allowed values are "draft", "archived", and "published". Drafts only ever include those you are allowed to see. PAGINATION: Returns up to limit documents (default 25). Use offset to page through older changes. Use this tool when you need to: - Answer "what documents changed recently / this week" - Review recent activity, optionally within one collection - Catch up on edits since you last looked Args: date_filter: Time window on last-modified time. One of "day", "week", "month", "year". Defaults to "week". collection_id: Optional collection to limit results to status_filter: Optional list of statuses to include. Allowed values are "draft", "archived", and "published". Defaults to published only. limit: Maximum number of documents to return (default: 25) offset: Number of documents to skip for pagination (default: 0) Returns: Formatted string listing documents with their IDs and last-updated timestamps, newest first

NameTypeReqDescription
collection_id
date_filter
limitinteger
offsetinteger
status_filter
NameTypeReqDescription
resultstringyes

No examples provided.

list_trash ~73

Displays all documents currently in the trash. Use this tool when you need to: - Find deleted documents that can be restored - Review what documents are pending permanent deletion - Identify documents to restore from trash - Verify if specific documents were deleted Returns: Formatted string containing list of documents in trash

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes

No examples provided.

move_document ~176

Relocates a document to a different collection or parent document. IMPORTANT: When moving a document that has child documents (nested documents), all child documents will move along with it, maintaining their hierarchical structure. You must specify either collection_id or parent_document_id (or both). Use this tool when you need to: - Reorganize your document hierarchy - Move a document to a more relevant collection - Change a document's parent document - Restructure content organization Args: document_id: The document ID to move collection_id: Target collection ID (if moving between collections) parent_document_id: Optional parent document ID (for nesting) Returns: Result message confirming the move operation

NameTypeReqDescription
collection_id
document_idstringyes
parent_document_id
NameTypeReqDescription
resultstringyes

No examples provided.

read_document ~213

Retrieves and displays document content, optionally paginated by line range. Use this tool when you need to: - Access the complete content of a specific document - Read a specific range of lines from a large document - Review document information in detail - Quote or reference document content When offset or limit are set, output includes line numbers and a metadata header showing the range. When both are 0 (default), the full document is returned in the original format for backward compatibility. Args: document_id: The document ID to retrieve offset: 0-based line number to start from; must be non-negative (default: 0) limit: Number of lines to return; 0 means all lines; must be non-negative (default: 0) Returns: Formatted string containing the document title and content

NameTypeReqDescription
document_idstringyes
limitinteger
offsetinteger
NameTypeReqDescription
resultstringyes

No examples provided.

read_document_section ~160

Reads a specific section of a document identified by heading match. Uses case-insensitive substring matching against headings. Returns the section content from the matched heading up to the next heading of the same or higher level, including all nested subsections. Use this tool when you need to: - Read a specific part of a large document - Focus on one section without loading everything - Navigate by heading name instead of line numbers Args: document_id: The document ID heading: Case-insensitive substring to match against headings (e.g. "arch" matches "## Architecture") Returns: Section content with line numbers

NameTypeReqDescription
document_idstringyes
headingstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

restore_document ~92

Recovers a document from the trash back to active status. Use this tool when you need to: - Retrieve accidentally deleted documents - Restore documents from trash to active use - Recover documents deleted within the last 30 days - Access content that was previously trashed Args: document_id: The document ID to restore Returns: Result message confirming restoration

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

search_document_content ~187

Searches within a document for lines containing a text snippet (grep-style), returning matches with line numbers and surrounding context. Use this tool when you need to: - Locate specific text in a large document without reading it in full - Find the exact text and line number to build edit_document old_string values or read_document offsets Matching is case-insensitive per line. Line numbers are 0-based and valid as read_document offsets. Args: document_id: The document ID to search query: Text snippet to find (case-insensitive) context_lines: Lines of context around each match (default: 2, must be non-negative) Returns: Matching lines with line numbers and context

NameTypeReqDescription
context_linesinteger
document_idstringyes
querystringyes
NameTypeReqDescription
resultstringyes

No examples provided.

search_documents ~402

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. STATUS FILTER: By default, searches published documents only. Pass status_filter to include other document states. Allowed values are "draft", "archived", and "published". 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) status_filter: Optional list of statuses to search. Allowed values are "draft", "archived", and "published". Defaults to ["published"] when omitted. Returns: Formatted string containing search results with document titles, contexts, and pagination information

NameTypeReqDescription
collection_id
limitinteger
offsetinteger
querystringyes
status_filter
NameTypeReqDescription
resultstringyes

No examples provided.

unarchive_document ~89

Restores a previously archived document to active status. Use this tool when you need to: - Restore archived documents to active use - Access or reference previously archived content - Make archived content visible in collections again - Update and reuse archived documents Args: document_id: The document ID to unarchive Returns: Result message confirming restoration

NameTypeReqDescription
document_idstringyes
NameTypeReqDescription
resultstringyes

No examples provided.

update_collection ~127

Modifies an existing collection's properties. Use this tool when you need to: - Rename a collection - Update a collection's description - Change a collection's color coding - Refresh collection metadata Args: collection_id: The collection ID to update name: Optional new name for the collection description: Optional new description color: Optional new hex color code (e.g. #FF0000) Returns: Result message confirming update

NameTypeReqDescription
collection_idstringyes
color
description
name
NameTypeReqDescription
resultstringyes

No examples provided.

update_document ~290

Modifies an existing document's title or content. IMPORTANT: This tool replaces the document content rather than just adding to it. For partial edits (changing specific text), prefer the edit_document tool instead. Use this tool when you need to: - Replace the entire document content - Change a document's title - Append new content to an existing document - Convert a document to or from a template Note: For Mermaid diagrams, use ```mermaidjs (not ```mermaid) as the code fence language identifier for proper rendering. Args: document_id: The document ID to update title: New title (if None, keeps existing title) text: New content (if None, keeps existing) append: If True, adds text to end of document instead of replacing template: If True, converts to a template. If False, converts a template back to a regular document. icon: Optional emoji character to use as the document icon (e.g. "📋", "🚀"). If None, keeps existing icon. Pass an empty string to remove the icon. Returns: Result message confirming update

NameTypeReqDescription
appendboolean
document_idstringyes
icon
template
text
title
NameTypeReqDescription
resultstringyes

No examples provided.

Common questions

What is the Outline MCP Server server?

Outline MCP Server is listed in the public MCP registry as io.github.Vortiago/mcp-outline. Connect AI assistants to Outline for document search, reading, and management. This page covers its PyPI package (mcp-outline).

Is the Outline MCP Server server safe to use?

Outline MCP Server scores 77 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Outline MCP Server server expose?

Outline MCP Server exposes 38 tools: search_documents, list_collections, get_collection_structure, get_document_id_from_title, list_recently_updated_documents, and 33 more. Their descriptions and schemas cost roughly 6,348 tokens of context every time the server is loaded.

Is the Outline MCP Server server still maintained?

Outline MCP Server is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.