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suekou

Notion MCP Server

by suekou
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TypeScript
Remote

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v2.0.0

  • Disambiguation5/5

    Each tool targets a distinct resource and action combination (e.g., create vs retrieve vs update for blocks, databases, pages). The descriptions clearly differentiate operations like retrieving block children vs appending children, and retrieving users vs retrieving the bot user.

    Naming Consistency5/5

    All tools follow the consistent pattern 'notion_verb_noun' using snake_case. Every name starts with 'notion_' followed by an action verb (e.g., create, retrieve, update, delete) and a resource noun (e.g., block, database, page).

    Tool Count5/5

    With 18 tools, the server covers the major CRUD operations for Notion's primary resources (blocks, databases, pages, comments, users) plus search and user listing. This is well-scoped for a Notion integration without being excessive.

    Completeness4/5

    The tools provide comprehensive coverage for blocks (create, retrieve, update, delete, children operations), databases (create, retrieve, update, query, item creation), pages (retrieve, update properties), comments, and users. Minor gaps exist, such as no direct delete for pages or databases, but these are acceptable given typical Notion API usage.

  • Average 3.2/5 across 18 of 18 tools scored. Lowest: 2.4/5.

    See the Tool Scores section below for per-tool breakdowns.

    • 1 of 4 issues responded to in the last 6 months
    • No commit activity data available
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

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  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

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