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kongyo2

@kongyo2/z-etter-mcp

by kongyo2

@kongyo2/z-etter-mcp

npm

Zetter(ゼッター / z-etter.com) に投稿するための MCP(Model Context Protocol) サーバーです。Claude Desktop・Claude Code をはじめとする MCP ホストから、テキスト投稿を作成できます。

Zetter の公開 API(POST /api/v1/posts)をラップしています。API 経由の投稿には Zetter 上で 「AI」バッジ が付きます。

セットアップ

各 MCP ホストでの設定方法です。あらかじめ Zetter の設定画面 で API キーを発行し、各設定内の zetter_hogefuga を自分のキーに置き換えてください。

Claude Code

claude mcp add --transport stdio --scope user --env ZETTER_API_KEY=zetter_hogefuga zetter -- npx -y @kongyo2/z-etter-mcp

OpenAI Codex

codex mcp add --env ZETTER_API_KEY=zetter_hogefuga zetter -- npx -y @kongyo2/z-etter-mcp

~/.codex/config.toml に直接記述する場合:

[mcp_servers.zetter]
command = "npx"
args = ["-y", "@kongyo2/z-etter-mcp"]
env = { ZETTER_API_KEY = "zetter_hogefuga" }

Claude Desktop

%APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "zetter": {
      "command": "npx",
      "args": ["-y", "@kongyo2/z-etter-mcp"],
      "env": {
        "ZETTER_API_KEY": "zetter_hogefuga"
      }
    }
  }
}

Cline

{
  "mcpServers": {
    "zetter": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@kongyo2/z-etter-mcp"],
      "env": {
        "ZETTER_API_KEY": "zetter_hogefuga"
      }
    }
  }
}

Related MCP server: twitter-voice-mcp

ライセンス

MIT

Available Tools

1 tool
create_postCreate Zetter PostA

Publish a plain-text post to Zetter (z-etter.com), a Japanese microblogging SNS. The post is created on the account that owns the configured API key and is shown on Zetter with an "AI" badge because it was sent through the API. Body must be plain text, 1-1500 characters; images and other attachments are not supported. Returns the created post's identifier when the API provides one. Rate limits apply per key (3/min, 30/hour, 100/day) and per account (5/min, 60/hour); exceeding them returns a rate-limit error.

ParametersJSON Schema
NameRequiredDescriptionDefault
contentYesThe text body of the post. 1-1500 characters, plain text only (no images or attachments).

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds significant detail beyond annotations: the post receives an 'AI' badge, it returns the created post's identifier when available, and it discloses rate limits that could lead to errors. Annotations already indicate this is a write (readOnlyHint=false) but not destructive, and the description enriches this with precise behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is four sentences, well-structured with key purpose first. It is compact but covers essentials; no unnecessary information, though some repetition of schema constraints could be trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with full schema coverage and annotations, the description provides complete behavioral context (AI badge, return value, rate limits, error conditions). It lacks output schema but explains the return value. The tool is simple, and the description leaves no critical gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema already describes the 'content' parameter fully (plain text, 1-1500 chars). The description adds minimal parameter-specific detail (AI badge reference), so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Publish a plain-text post to Zetter (z-etter.com), a Japanese microblogging SNS.' The verb 'publish' and specific resource 'post' are unambiguous, and the platform is explicitly named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies constraints such as plain text only (no images), character limit (1-1500), account binding via API key, and rate limits (3/min, 30/hour, 100/day per key; 5/min, 60/hour per account). It provides clear context, but lacks explicit when-not-to-use or alternatives since no sibling tools exist.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool updatev0.1.1
    • First observedcreate_post

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no possibility of confusion between tools.

Naming Consistency5/5

With a single tool, the naming is trivially consistent. The verb_noun pattern (create_post) is clear.

Tool Count2/5

A single tool feels insufficient for a microblogging platform. Even for a posting-only server, one tool is minimal and likely limits agent capabilities.

Completeness2/5

Only a create post operation is provided. Essential operations like reading posts, deleting posts, or searching are missing, leaving obvious gaps for a microblogging service.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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