# esa

> Use this tool when you need to streamline document management and leverage AI assistance for your documentation workflows. It provides a bridge between Claude AI and the esa API, enabling searching, creating, updating, and deleting posts and comments, as well as member management and post categorization. Ideal for teams seeking to automate and optimize their esa-based knowledge management processes.

Canonical page: https://skillsregistry.net/skills/kajirita2002-esa  
JSON: https://api.skillsregistry.net/v1/skills/kajirita2002-esa

## Description

Provides a bridge between Claude AI and the esa API, enabling AI-driven document management through tools for searching, creating, updating and deleting posts and comments. Built by kajirita2002, this Node.js implementation exposes a full suite of esa's functionality including member management and post categorization, making it valuable for teams who want to leverage AI assistance for their esa-based documentation and knowledge management workflows.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kajirita2002-esa)
- **Repository:** <https://github.com/kajirita2002/esa-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": "kajirita2002-esa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kajirita2002-esa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kajirita2002-esa/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