Livejournal MCP Server

@pavelber

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

pavelber

提交者

Pavel Bernshtam

关于 Livejournal MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

What Python version is required?

Python 3.10 or later.

Do I need a LiveJournal account?

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

Where are cached entries stored?

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

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`.

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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