pastorsimon1798/mcp-video
by Various
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.
MCP
pastorsimon1798/mcp-video
Added 1 June 2026
Overview
An MCP server that lets AI agents perform guardrailed video editing tasks using FFmpeg, Hyperframes, and repurposing tools. It provides a Python client and CLI for local, fast, and free operation.
Best for
Best for
Developers building AI agents that need simple, safe, local video editing capabilities
Use cases
- Automate video trimming, concatenation, and format conversion via AI agents
- Generate hyperframe-based video summaries or previews
- Repurpose existing video content for different platforms or lengths
Notes
An MCP server that lets AI agents perform guardrailed video editing tasks using FFmpeg, Hyperframes, and repurposing tools. It provides a Python client and CLI for local, fast, and free operation.
29 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.
Use cases
- Automate video trimming, concatenation, and format conversion via AI agents
- Generate hyperframe-based video summaries or previews
- Repurpose existing video content for different platforms or lengths
Pros
- Runs locally with no cloud dependency or API costs
- Leverages FFmpeg for reliable, well-tested video operations
- Guardrails help prevent unsafe or unintended edits by agents
Cons
- Limited to the capabilities of FFmpeg and Hyperframes (no advanced effects or compositing)
- Small community and few stars (29) may mean slower updates or less support
- Requires local setup and Python environment management
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Runs locally with no cloud dependency or API costs
- Leverages FFmpeg for reliable, well-tested video operations
- Guardrails help prevent unsafe or unintended edits by agents
Cons
- Limited to the capabilities of FFmpeg and Hyperframes (no advanced effects or compositing)
- Small community and few stars (29) may mean slower updates or less support
- Requires local setup and Python environment management
Pairs with
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