rendobar/mcp
by Various
Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files from Claude, Cursor, and more.
MCP
rendobar/mcp
Added 11 June 2026
Overview
An MCP server that enables AI agents to perform serverless media processing and upload local files. It implements the Model Context Protocol for integration with tools like Claude and Cursor. Built with TypeScript, it connects to Rendobar's media processing infrastructure.
Best for
Best for
Developers using MCP-compatible AI tools who need serverless media processing and file uploads
Use cases
- Trigger media transcoding or resizing from an AI agent
- Upload local files to Rendobar for serverless processing
- Integrate media workflows into MCP-compatible development tools
How to use
Install
claude mcp add rendobar -s user --env RENDOBAR_API_KEY=rb_... -- npx -y @rendobar/mcp Tools exposed
upload_filesubmit_jobget_joblist_jobscancel_jobget_account
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT
Example client config
{\n "mcpServers": {\n "rendobar": {\n "command": "npx",\n "args": ["-y", "@rendobar/mcp"],\n "env": { "RENDOBAR_API_KEY": "rb_..." }\n }\n }\n} Notes
An MCP server that enables AI agents to perform serverless media processing and upload local files. It implements the Model Context Protocol for integration with tools like Claude and Cursor. Built with TypeScript, it connects to Rendobar’s media processing infrastructure.
0 stars on GitHub. Last updated 2026-06-11. Licensed MIT.
Use cases
- Trigger media transcoding or resizing from an AI agent
- Upload local files to Rendobar for serverless processing
- Integrate media workflows into MCP-compatible development tools
Pros
- Leverages MCP for straightforward integration with multiple AI clients
- Offers serverless media processing without managing infrastructure
- Supports file uploads directly from local sources
Cons
- No public adoption yet (0 GitHub stars) indicating early stage
- Requires MCP-compatible clients, limiting immediate use cases
- Dependent on the Rendobar service availability and pricing
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages MCP for straightforward integration with multiple AI clients
- Offers serverless media processing without managing infrastructure
- Supports file uploads directly from local sources
Cons
- No public adoption yet (0 GitHub stars) indicating early stage
- Requires MCP-compatible clients, limiting immediate use cases
- Dependent on the Rendobar service availability and pricing
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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