SoManyLemons MCP

SoManyLemons MCP

AI-powered content marketing MCP server for creating branded video reels, LinkedIn posts, image quotes, and more via the /lemons command.

Category
访问服务器

README

SoManyLemons MCP

AI-powered content marketing via Model Context Protocol. Create branded video reels, LinkedIn posts, image quotes, and more — just type /lemons.

Install (one line)

curl -sL https://raw.githubusercontent.com/NoMiddleInc/somanylemons-mcp/main/install.sh | bash

The installer will:

  1. Install the /lemons command globally
  2. Ask for your API key (get one free at somanylemons.com/developers/portal)
  3. Connect the MCP server

Restart Claude Code after installing. That's it.

Manual install (if you prefer)

# 1. Get an API key from https://somanylemons.com/developers/portal

# 2. Register the MCP server
claude mcp add --scope user --transport http somanylemons \
  https://mcp.somanylemons.com/mcp \
  --header "X-API-Key: sml_YOUR_KEY"

# 3. Install /lemons command
mkdir -p ~/.claude/commands && \
curl -sL https://raw.githubusercontent.com/NoMiddleInc/somanylemons-mcp/main/commands/lemons.md \
  -o ~/.claude/commands/lemons.md

# 4. Restart Claude Code

Use it

Restart Claude Code (or start a new conversation), then:

/lemons

That's the only command. Describe what you want and it happens.

What /lemons can do

  • "Make a reel from [file or URL]" - Branded video clips with captions
  • "Write a post about [topic]" - LinkedIn posts, scored and polished
  • "Make 5 posts from my latest recording" - Batch content from one source
  • "Extract quotes from [text]" - Find shareable lines
  • "Score my drafts" - Bulk engagement scoring
  • "Plan my week" - Content calendar from your recordings
  • "Set up my brand" - Logo, colors, styling
  • "What do I have?" - See your recordings, drafts, queue

How it works

/lemons (prompt)
    |
MCP Server (mcp.somanylemons.com)
    |
Backend API (api.somanylemons.com)
  1. /lemons is a prompt that tells Claude how to use 19 content creation tools.
  2. The MCP server receives tool calls and forwards them to the backend API.
  3. The backend does the real work: transcription, rendering, AI writing, scoring.

Tools

Tool Description
create_reels Turn a recording into branded videograms, audiograms, or image quotes (async)
check_job_status Poll processing status and get download URLs
create_upload_session Create a resumable upload session for large files
check_upload_status Check resumable upload progress
upload_file Upload a local file and get a public URL
transcribe Transcribe media with word-level timestamps
generate_content Generate a LinkedIn post from a topic
score_content Score a post draft (0-100)
rewrite_content AI-rewrite a post with optional feedback
extract_quotes Extract quotable lines with Squeeze Scores
create_image_quote Render a branded image quote from text
list_templates Browse available templates
list_brands List your brand profiles
create_brand Create a brand profile
create_draft Create a draft post in your queue
list_drafts List drafts with status and media
list_jobs List recent render jobs
list_plans View available pricing tiers
get_usage Check render quota and billing usage

Caption Styles

LEMON (default), VITAMIN_C, PLAIN, SPOTLIGHT, GLITCH, RANSOM, WAVE, BOUNCE.

Pricing

Tier Renders/mo Price
Free 5 $0
Pro 100 $49/mo
Agency 500 $199/mo
Enterprise Unlimited Contact us

Transcription, writing, scoring, and quote extraction are free and unlimited. Only rendered video clips count against quota.

Manual MCP config

If you prefer to edit your config file directly instead of using claude mcp add:

{
  "mcpServers": {
    "somanylemons": {
      "type": "url",
      "url": "https://mcp.somanylemons.com/mcp",
      "headers": {
        "X-API-Key": "sml_your_key_here"
      }
    }
  }
}

Local server (advanced)

For development or if you prefer running locally:

pip install somanylemons-mcp
SML_API_KEY=sml_your_key sml-mcp

Then add to your MCP config:

{
  "mcpServers": {
    "somanylemons": {
      "command": "sml-mcp",
      "env": {
        "SML_API_KEY": "sml_your_key_here"
      }
    }
  }
}

License

MIT

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选