writefreely-mcp-server
An MCP server for WriteFreely that enables AI agents to publish and manage content on WriteFreely instances (including self-hosted instances and Write.as).
README
writefreely-mcp-server
<p align="center"> <a href="https://github.com/laxmena/writefreely-mcp-server"><img alt="Source Code" src="https://img.shields.io/badge/source-code-blue"/></a> <a href="https://github.com/laxmena/writefreely-mcp-server"><img alt="Issues" src="https://img.shields.io/badge/issue-tracker-blue"/></a> <img alt="Python 3.10 | 3.11 | 3.12 " src="https://img.shields.io/pypi/pyversions/writefreely-mcp-server"/> <a href="https://pypi.org/project/writefreely-mcp-server/"><img alt="PyPI" src="https://img.shields.io/pypi/v/writefreely-mcp-server"/></a> <a href="https://github.com/laxmena/writefreely-mcp-server/tree/main/LICENSE"><img alt="MIT License" src="https://img.shields.io/pypi/l/writefreely-mcp-server"/></a> <a href="https://pypi.org/project/writefreely-mcp-server/"><img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/writefreely-mcp-server"></a> </p>
An MCP server for WriteFreely that enables AI agents to publish and manage content on WriteFreely instances (including self-hosted instances and Write.as).
Features
- Publish posts (anonymous or authenticated)
- Manage collections and posts
- Browse public feeds
- Support for Write.as and self-hosted WriteFreely instances
Installation
Installing uv or uvx
If you don't have uv or uvx installed, you can install them using one of the following methods:
macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows (PowerShell):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Using Homebrew (macOS):
brew install uv
Using pip:
pip install uv
After installation, uvx will be available as part of uv. See the uv documentation for more details.
Using uvx (recommended)
uvx --from writefreely-mcp-server writefreely-mcp
Using uv
uv tool install writefreely-mcp-server
writefreely-mcp
Using pip
pip install writefreely-mcp-server
Configuration
Configure via environment variables:
WRITEFREELY_BASE_URL- Base URL (default:https://write.as)WRITEFREELY_ACCESS_TOKEN- Access token for authenticationWRITEFREELY_DEFAULT_LANGUAGE- Default language (default:en)
Getting an Access Token
curl -X POST https://write.as/api/auth/login \
-H "Content-Type: application/json" \
-d '{"alias": "your_username", "pass": "your_password"}'
MCP Client Configuration
{
"mcpServers": {
"writefreely": {
"command": "uvx",
"args": ["--from", "writefreely-mcp-server", "writefreely-mcp"],
"env": {
"WRITEFREELY_BASE_URL": "https://write.as",
"WRITEFREELY_ACCESS_TOKEN": "your_token_here"
}
}
}
}
Available Tools
login()- Authenticate with username/passwordpublish_post()- Create and publish a new postedit_post()- Update an existing postdelete_post()- Delete a postread_post()- Read a post by IDlist_my_posts()- List all your postslist_my_collections()- List all your collections/blogsbrowse_collection()- Browse posts in a collectionbrowse_public_feed()- Browse the public feed
License
MIT
Links
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。