Humanizer APIs MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Humanizer APIs MCP Serverhumanize this technical text to make it more conversational"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Humanizer Apis MCP Server
用于访问 Humanizer Apis API 的 MCP 服务器。
🚀 使用 EMCP 平台快速体验
EMCP 是一个强大的 MCP 服务器管理平台,让您无需手动配置即可快速使用各种 MCP 服务器!
快速开始:
🌐 访问 EMCP 平台
📝 注册并登录账号
🎯 进入 MCP 广场,浏览所有可用的 MCP 服务器
🔍 搜索或找到本服务器(
bach-humanizer_apis)🎉 点击 "安装 MCP" 按钮
✅ 完成!即可在您的应用中使用
EMCP 平台优势:
✨ 零配置:无需手动编辑配置文件
🎨 可视化管理:图形界面轻松管理所有 MCP 服务器
🔐 安全可靠:统一管理 API 密钥和认证信息
🚀 一键安装:MCP 广场提供丰富的服务器选择
📊 使用统计:实时查看服务调用情况
立即访问 EMCP 平台 开始您的 MCP 之旅!
Related MCP server: Hugging Face MCP Server
简介
这是一个 MCP 服务器,用于访问 Humanizer Apis API。
PyPI 包名:
bach-humanizer_apis版本: 1.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-humanizer_apis从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-humanizer_apis bach_humanizer_apis
# 或指定版本
uvx --from bach-humanizer_apis@latest bach_humanizer_apis方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-humanizer_apis
# 运行(命令名使用下划线)
bach_humanizer_apis配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Cursor 中使用
编辑 Cursor MCP 配置文件 ~/.cursor/mcp.json:
{
"mcpServers": {
"bach-humanizer_apis": {
"command": "uvx",
"args": ["--from", "bach-humanizer_apis", "bach_humanizer_apis"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"bach-humanizer_apis": {
"command": "uvx",
"args": ["--from", "bach-humanizer_apis", "bach_humanizer_apis"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}可用工具
此服务器提供以下工具:
easy_use_humanizer
Easy use
端点: POST /humanizer
basic_model
Basic model (lightweight, useful)
端点: POST /humanizer/basic
multi_languages
Best model for multi languages
端点: POST /humanizer/language
技术栈
传输协议: stdio
HTTP 客户端: httpx
许可证
MIT License - 详见 LICENSE 文件。
开发
此服务器由 API-to-MCP 工具生成。
版本: 1.0.0
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseBqualityDmaintenanceEnables AI-generated text detection using the GPTZero API. Provides confidence scores and detailed analysis to identify whether text was written by humans or AI, with multilingual support.Last updated2321MIT
- Alicense-quality-maintenanceEnables access to 200,000+ machine learning models through the Hugging Face Inference API. Supports text generation, image creation, classification, translation, speech processing, embeddings, and more AI tasks.Last updated
- Alicense-quality-maintenanceProvides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.Last updated1
- Alicense-qualityDmaintenanceEnables natural language interaction with any Swagger/OpenAPI-defined API, allowing discovery, parameterized calls, and automated testing through large language models.Last updated5Apache 2.0
Related MCP Connectors
Human-as-a-Service for AI agents. Delegate tasks that need a real human, get results via API.
One API key for 6 AI models. Pay-per-use. MCP protocol support with web search.
Discover and call pay-per-request (x402) APIs, ranked by reliability, latency and price.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-humanizer-apis'
If you have feedback or need assistance with the MCP directory API, please join our Discord server