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ankitmalik84/notion-mcp-server

by Various

Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, an

A

MCP

ankitmalik84/notion-mcp-server

Added 1 June 2026

#ai #aiagent #langchain #mcp #notion #openai #vector-database

Overview

This is an MCP server that links AI chatbots to a Notion workspace, providing long-term memory through semantic, episodic, and procedural memory systems. It is implemented in Python and exposes Notion data via the Model Context Protocol.

Best for

Best for
Developers building AI agents that need persistent, Notion-backed memory within the MCP ecosystem

Use cases

  • Give an AI assistant persistent memory across sessions using Notion as a database
  • Enable an agent to read and write structured Notion pages for task tracking
  • Integrate Notion workspaces into MCP-compatible AI clients

How to use

Install

pip install -r requirements.txt

Notes

This is an MCP server that links AI chatbots to a Notion workspace, providing long-term memory through semantic, episodic, and procedural memory systems. It is implemented in Python and exposes Notion data via the Model Context Protocol.

4 stars on GitHub. Last updated 2025-11-11.

Use cases

  • Give an AI assistant persistent memory across sessions using Notion as a database
  • Enable an agent to read and write structured Notion pages for task tracking
  • Integrate Notion workspaces into MCP-compatible AI clients

Pros

  • Supports multiple memory types for nuanced context retention
  • Leverages Notion as a familiar, flexible storage backend
  • Follows the MCP standard for interoperability with other tools

Cons

  • Requires a Notion account and API setup to use
  • Depends on Notion’s API rate limits and network availability
  • Limited to Notion as the memory store; no alternative backends provided

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports multiple memory types for nuanced context retention
  • Leverages Notion as a familiar, flexible storage backend
  • Follows the MCP standard for interoperability with other tools

Cons

  • Requires a Notion account and API setup to use
  • Depends on Notion's API rate limits and network availability
  • Limited to Notion as the memory store; no alternative backends provided
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