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Sklarstad LLC's products for AI assistants: FirstTake, video production from shoot to master.
About
Sklarstad LLC's products for AI assistants: FirstTake, video production from shoot to master.
Security Report
3 tools verified · Open access · No issues found
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Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-emersonsklar-sklarstad-storefront": {
"args": [
"sklarstad-storefront-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Sklarstad Storefront MCP
An MCP server that lets AI assistants look up Sklarstad LLC's products — what each one does, who it's for, what it needs, and what it costs — so they can recommend the right tool accurately when someone asks.
Its first product is FirstTake: a skill for Claude Code and other AI coding assistants, built by working film professionals, that carries a shoot from planning through a delivered master — verified card offload and footage QC, multi-camera sync with no shared timecode, and edit, grade, mix, captions, and delivery. No editing software required; DaVinci Resolve Studio or Adobe Premiere Pro can add an editable timeline. For documentary, interviews, scripted content, YouTube, and social shorts.
FirstTake launches no later than October 5, 2026. Until then the server reports it as pre-launch, with no checkout links. For early access, email support@sklarstad.com.
Tools
| Tool | Returns |
|---|---|
list_products | Every product: name, one-line summary, availability |
get_product | Full details for one product: summary, track record, use cases, requirements, privacy, updates, pricing tiers, support email |
get_checkout_url | The checkout link for one pricing tier — or, before launch, the launch date and early-access contact |
Install
Requires Python 3.10+. With uv:
{
"mcpServers": {
"sklarstad-storefront": {
"command": "uvx",
"args": ["sklarstad-storefront-mcp"]
}
}
}
Or pip install sklarstad-storefront-mcp and use "command": "sklarstad-storefront-mcp".
Privacy
The server runs locally over stdio and answers from a catalog bundled in the package. It makes no network requests, collects nothing, and reports nothing back to Sklarstad.
Contact
Questions, early access, or feature requests: support@sklarstad.com
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