# Notion

> Use this tool when you need to integrate AI-driven content management and collaborative document editing into your applications, or require a bridge to the Notion API for searching, querying databases, and managing pages. It solves problems related to AI-assisted workflow automation, data integration, and collaborative content creation. The tool accepts Notion workspace data as input and provides output in the form of managed pages, blocks, and user interactions.

Canonical page: https://skillsregistry.net/skills/ramidecodes-notion  
JSON: https://api.skillsregistry.net/v1/skills/ramidecodes-notion

## Description

This MCP server implementation provides a bridge to the Notion API, allowing AI models to interact with Notion workspaces. Developed by Ramiro Ramirez, it offers tools for searching, querying databases, managing pages and blocks, and handling users and comments. The server is designed for use cases requiring AI-driven content management, collaborative document editing, or integration of Notion data into AI-assisted applications.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ramidecodes-notion)
- **Repository:** <https://github.com/ramidecodes/mcp-server-notion>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ramidecodes-notion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramidecodes-notion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramidecodes-notion/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt