Notion MCP
Knowledge base via MCP
Overview
Notion MCP is the Model Context Protocol server for Notion, the all-in-one workspace for notes, documents, wikis, and databases. It enables AI assistants to read, search, create, and update Notion pages, databases, and blocks through a standardized MCP interface.
Notion serves as the knowledge backbone for many organizations, housing everything from meeting notes and product specs to company wikis and project databases. The MCP server unlocks this knowledge for AI-assisted workflows, enabling teams to search across their entire Notion workspace, create structured content, and keep documentation up to date through conversational AI interactions.
With Notion''s flexible block-based architecture and powerful database features, this connector is particularly valuable for knowledge management, documentation automation, and cross-functional collaboration workflows.
Key Features
Capabilities
Notion MCP exposes 8 tools for AI agents. 1 require approval.
| Tool | Operation | Risk |
|---|---|---|
search_pagesSearches Notion pages and databases | Read | Low Risk |
get_pageRetrieves page content | Read | Low Risk |
create_pageCreates a new page in a database | Write | Medium Risk |
update_pageUpdates page properties or content | Write | Medium Risk |
delete_pageApprovalArchives/deletes a page | Delete | High Risk |
query_databaseQueries a Notion database with filters | Read | Low Risk |
create_databaseCreates a new Notion database | Write | Medium Risk |
list_commentsLists comments on a page | Read | Low Risk |
Use Cases
Strategy-Aligned Use Cases
Documentation Automation
AI assistants can create and update documentation pages based on code changes, meeting notes, or project milestones. Keep wikis current without manual effort.
Knowledge Base Search
Search across the entire Notion workspace to find relevant documentation, past decisions, and institutional knowledge when working on new initiatives.
Meeting Notes & Action Items
Transform raw meeting notes into structured Notion pages with extracted action items, decisions, and follow-up tasks linked to relevant projects.
Database-Driven Workflows
Manage structured data in Notion databases — track content calendars, customer feedback, product roadmaps, and team OKRs through AI-assisted database operations.
Integrations
Considerations
- **Knowledge Base Sensitivity**: Notion workspaces often contain the organization''s most comprehensive knowledge base, including strategic plans, competitive analysis, HR policies, and financial data. AI access must be carefully scoped to prevent unauthorized knowledge exposure.
- **Content Integrity**: Notion pages serve as living documents that multiple team members reference and edit. AI-initiated edits to shared documents can cause confusion or data loss if not properly coordinated.
- **Database Schema Impact**: Modifying Notion database properties or structures can break existing views, automations, and integrations that depend on the current schema.
- **Cross-Workspace Access**: Organizations using multiple Notion workspaces need clear governance over which workspaces the AI can access and what operations are permitted in each.
Stratafy Fit
Notion MCP is a moderate fit for Stratafy''s governance platform. While Notion is widely used as a knowledge management tool, its unstructured nature makes governance more challenging compared to purpose-built tools like Linear or GitHub. Stratafy can add value by governing which Notion workspaces and databases AI can access, enforcing read-only access for sensitive knowledge areas, and providing audit trails for AI-initiated content changes. The primary governance value lies in preventing unauthorized access to sensitive organizational knowledge stored in Notion.
