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mcp-server

Drive Instavar Studio video jobs (create, render, approve, publish, metrics) with an API key.

RUN IN TERMINAL
claude mcp add cominstavar-mcp-server -- npx -y @instavar/mcp-server
ADD TO claude_desktop_config.json
{ "mcpServers": { "cominstavar-mcp-server": { "command": "npx", "args": ["-y", "@instavar/mcp-server"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "cominstavar-mcp-server": { "command": "npx", "args": ["-y", "@instavar/mcp-server"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "cominstavar-mcp-server": { "command": "npx", "args": ["-y", "@instavar/mcp-server"] } } }

About This MCP Server

The com.instavar/mcp-server is a cloud-based server that enables driving Instavar Studio video jobs, including creating, rendering, approving, publishing, and tracking metrics, all through the use of an API key. This server connects to Instavar Studio and allows for the automation of video job workflows. Developers would use the com.instavar/mcp-server when they need to integrate Instavar Studio video job management into their application or workflow, utilizing the provided API key for authentication.

Drive Instavar Studio video jobs (create, render, approve, publish, metrics) with an API key.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.

Package

@instavar/mcp-server on npm

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.

What tools does it provide?

The mcp-server server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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