smithery Safe content atomic container

Notion RAG: Intelligent Documentation Search

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.

Cognium trust score

30%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-08-23.

Scan details: Circle-IR · 2026-08-23 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: database
Source: Smithery
Author type: human
Last scanned: 2026-08-23
Updated: 2026-08-23

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MCP

Resolve Notion RAG: Intelligent Documentation Search from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"