# Notion RAG: Intelligent Documentation Search

> Use this tool when you need to seamlessly access and search your Notion documentation within your IDE, solving context switching and information retrieval problems. It provides intelligent, semantic search results using AI models, and syncs your Notion pages for up-to-date access to guides, API documentation, and project notes. Ideal for developers seeking efficient knowledge base integration, it offers direct IDE integration, automatic sync, and a flexible API for custom use cases.

Canonical page: https://skillsregistry.net/skills/team-upgrade-smithery-notion-docs  
JSON: https://api.skillsregistry.net/v1/skills/team-upgrade-smithery-notion-docs

## Description

This server acts as a bridge between your Notion workspace and your development environment, providing intelligent access to your documentation right within your IDE.
Leveraging a Retrieval-Augmented Generation (RAG) system, it syncs your Notion pages, indexes them into a Pinecone vector database, and allows you to perform semantic searches using powerful AI models from OpenAI or Google.
Designed for seamless integration with tools like Cursor, it uses the Model Context Protocol (MCP) to make your entire Notion knowledge base available as a development context. Developers can quickly find relevant guides, API documentation, or project notes without context switching.

Key Features:
- Direct IDE Integration: Access Notion docs via MCP in supported IDEs like Cursor.
- Intelligent RAG System: Get context-aware search results powered by AI.
- Automatic Sync: Keeps your knowledge base up-to-date with your Notion workspace.
- Flexible API: Includes a REST API for custom integrations.
- Powered by: LangChain, Pinecone, OpenAI, and Google AI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/team-upgrade/smithery-notion-docs)

## 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": "team-upgrade-smithery-notion-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/team-upgrade-smithery-notion-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/team-upgrade-smithery-notion-docs/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