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Livejournal MCP Server

@pavelber

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

pavelber

投稿者

Pavel Bernshtam

Livejournal MCP Server について

Local MCP server for LiveJournal journals. It uses the legacy LiveJournal XML-RPC API to read entries, read comments, post to your own journal, and build a local SQLite cache for search.

#livejournal#lj#blog

Livejournal MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "livejournal": {
      "command": "C:\\path\\to\\livejournal-mcp\\.venv\\Scripts\\python.exe",
      "args": [
        "-m",
        "livejournal_mcp.server"
      ],
      "env": {
        "LJ_USERNAME": "your_livejournal_username",
        "LJ_PASSWORD": "your_livejournal_password",
        "LJ_JOURNAL": "your_livejournal_username",
        "LJ_CACHE_PATH": "C:\\Users\\you\\AppData\\Local\\livejournal-mcp\\livejournal.sqlite3"
      }
    }
  }
}

Livejournal MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Livejournal?

Livejournal is an MCP server that integrates with LiveJournal, enabling reading of journal entries, creating posts (with a default dry run), caching entries locally in SQLite, and generating authenticated sessions for LiveJournal web endpoints. It is intended for LiveJournal users who want programmatic access to their journals via an MCP‑compatible client.

How to use Livejournal?

You need Python 3.10+, a LiveJournal account, and an MCP‑compatible client. SQLite (built into Python) is used for local caching. The server exposes tools for reading, searching, creating, and caching entries. Invoke it as an MCP server; no explicit install or configuration steps are provided in the README beyond the requirements.

Key features of Livejournal

  • Read recent, dated, or specific entries by itemid.
  • Create posts with a default dry run (dry_run: true).
  • Search recently fetched or locally cached entries.
  • Fetch and cache entry comments via LiveJournal XMLRPC.
  • Generate an ljsession for authenticated web endpoint access.
  • Cache entries in SQLite and query the cache.

Use cases of Livejournal

  • Automatically reading recent entries from a LiveJournal feed.
  • Drafting posts locally with dry‑run before publishing.
  • Searching through cached journal content offline.
  • Generating an authenticated LiveJournal session for web‑based tools.

よくある質問

1

What Python version is required?

Python 3.10 or later.

2

Do I need a LiveJournal account?

Yes, a LiveJournal account is required to use this server.

3

Where are cached entries stored?

Entries are cached locally in SQLite, which is built into Python – no separate SQLite installation is needed.

4

Are posts published immediately by default?

No, `create_post` works with `dry_run: true` by default, so posts are not sent to LiveJournal unless you explicitly set `dry_run: false`.

5

What transports or authentication are supported?

The server uses LiveJournal XMLRPC for reading and creating entries, and an ljsession can be generated for LiveJournal web endpoints. No other transports are mentioned.

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