Skip to main content

MCP server for SoManyLemons — AI-powered video reels, LinkedIn content, and brand management via Claude Code, Cursor, or any MCP client.

Project description

SoManyLemons MCP

AI-powered content marketing via Model Context Protocol. Create branded video reels, LinkedIn posts, image quotes, and more — directly from Claude Code, Cursor, or any MCP-compatible client.

Install

pip install somanylemons-mcp

Setup

1. Get a free API key

curl -X POST https://somanylemons.com/api/v1/signup \
  -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}'

2. Add to Claude Code

Add to your ~/.claude.json (or project .claude.json):

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

3. Install skills (optional but recommended)

sml-mcp --install-skills

This copies workflow prompts to ~/.claude/commands/ so you can run /make-me-famous, /repurpose, etc.

Tools

Tool Description
create_reels Turn a recording URL into branded, captioned video reels (async)
check_job_status Poll processing status and get download URLs
create_upload_session Create a resumable direct-to-cloud upload session
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, AI + heuristics)
rewrite_content AI-rewrite a post with optional feedback
extract_quotes Extract quotable lines from text with Squeeze Scores
create_image_quote Render a branded image quote from text
list_templates Browse available video/image templates
list_brands List your brand profiles
create_brand Create a brand profile (colors, fonts, logo)
create_draft Create a draft post in your content queue
list_drafts List drafts with status and media
list_jobs List recent render jobs
get_usage Check render quota and billing usage
list_plans View available pricing tiers

Skills

After sml-mcp --install-skills:

Command What it does
/make-me-famous Full pipeline: recording → branded reels + LinkedIn posts, scored and ready
/repurpose One recording → every format: reels, quotes, written posts
/content-week Generate a Monday–Friday LinkedIn content calendar
/brand-setup Interactive brand profile creation
/score-my-post Score a draft, get feedback, auto-improve

Caption Styles

Style Description
LEMON Bold green highlight, drop shadow, glow (default)
VITAMIN_C Gold background box highlight with fade
PLAIN Simple white text, no effects
SPOTLIGHT One word at a time, centered, scale emphasis
GLITCH RGB color-split with jitter
RANSOM Newspaper cut-out boxes with rotation
WAVE Words bob up/down in a sine wave
BOUNCE Words fall from above with spring physics

Pricing

Tier Renders/mo Price
Free 5 $0
Pro 100 $29/mo
Agency 500 $99/mo
Enterprise Unlimited Pay-per-render

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

Environment Variables

Variable Default Description
SML_API_KEY (required) Your API key (sml_xxxxx)
SML_API_URL https://somanylemons.com API base URL

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

somanylemons_mcp-0.1.0.tar.gz (12.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

somanylemons_mcp-0.1.0-py3-none-any.whl (16.9 kB view details)

Uploaded Python 3

File details

Details for the file somanylemons_mcp-0.1.0.tar.gz.

File metadata

  • Download URL: somanylemons_mcp-0.1.0.tar.gz
  • Upload date:
  • Size: 12.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for somanylemons_mcp-0.1.0.tar.gz
Algorithm Hash digest
SHA256 629641f2f58f881b7cb15bf877db942ae25356045db6397505fc36905d29d915
MD5 4045de17395d727cc3aaa3d743216154
BLAKE2b-256 975e89617d23373f580167ec7c23f7cbda47752259223daa3730114c966fe289

See more details on using hashes here.

File details

Details for the file somanylemons_mcp-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for somanylemons_mcp-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 83987badc7d04ebf1a84bacf3a4cc714a3d7ed3210948eefe2afc5025292e81f
MD5 6fc3f09957a51df877aca8a9e26f91b1
BLAKE2b-256 6c514fc2aa658ef4daff1e5f2fe9e7424530d9183273d3857e42956cd27c0d97

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page