# Research Notion

> Use this tool when you need to automate survey management and analysis by integrating AI-powered operations with Notion's database capabilities. It solves problems such as generating survey questions, storing responses, and analyzing results, making it ideal for research projects that require dynamic survey creation and data collection. The tool takes Notion database connections as input and provides standardized interfaces for survey data retrieval and creation as output.

Canonical page: https://skillsregistry.net/skills/h-yanagawa-research-notion  
JSON: https://api.skillsregistry.net/v1/skills/h-yanagawa-research-notion

## Description

This MCP server, developed by Hikari YANAGAWA, integrates with Notion to enable survey data retrieval and creation of survey pages. Built with Python and leveraging libraries like Anthropic, OpenAI, and Pydantic, it provides a standardized interface for AI-powered survey operations. The implementation focuses on bridging AI language models with Notion's database capabilities, allowing for automated survey management and analysis. By connecting to a specified Notion database, this server enables use cases such as generating survey questions, storing responses, and analyzing results, making it particularly useful for research projects that require dynamic survey creation and data collection.

## Trust

- **Trust score (0–1):** 0.98
- **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/h-yanagawa-research-notion)
- **Repository:** <https://github.com/h-yanagawa/research-mcp-server>

## 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": "h-yanagawa-research-notion"
    }
  }
}
```

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