# Note.com

> Use this tool when you need to access and retrieve content from note.com through conversational AI interfaces, solving the problem of context switching and enabling seamless discovery and retrieval of articles by keyword, user, or detailed information. It takes in natural language queries and returns relevant article results, providing a bridge between AI assistants and the note.com API. Ideal for users seeking to integrate note.com content into their AI-driven workflows.

Canonical page: https://skillsregistry.net/skills/champaya-note  
JSON: https://api.skillsregistry.net/v1/skills/champaya-note

## Description

Note-MCP-Server provides a bridge between AI assistants and the note.com API, enabling content discovery and retrieval through conversation. The implementation offers three main tools: searching articles by keyword, retrieving detailed article information, and listing articles by specific users. Built with TypeScript using the Model Context Protocol SDK, it handles API responses and error management while maintaining a clean interface to the note.com platform. This server is particularly valuable for users who want to access note.com content directly through AI assistants without switching contexts.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

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

## 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": "champaya-note"
    }
  }
}
```

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