No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by DareDev256 · MCP Server · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fcpxml-mcp-server safe to install? View the security audit →
FCPXML MCP The bridge between Final Cut Pro and AI. 56 tools that turn timeline XML into structured data Claude can read, edit, and generate. Why This Exists After directing 350+ music videos (Chief Keef, Migos, Masicka), I noticed the same editing bottlenecks on every project: counting cuts manually, extracting chapter markers one by one, hunting flash frames by scrubbing, building rough cuts clip by clip. These are batch operations that don't need visual feedback. Export the XML, let Claude handle the tedium, import the result. That's the entire philosophy. See It In Action You: "Run a health check on my we
| Stars | 72 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.9196503043441/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-25 |
| Created | 2026-01-18 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~21k |
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fcpxml-mcp-server is 🎬 The first AI-powered MCP server for Final Cut Pro XML. Control your edits with natural language.. It is categorized as a MCP Server with 72 GitHub stars.
fcpxml-mcp-server is primarily written in Python. It covers topics such as ai, anthropic, claude.
You can find installation instructions and usage details in the fcpxml-mcp-server GitHub repository at github.com/DareDev256/fcpxml-mcp-server. The project has 72 stars and 15 forks, indicating an active community.
fcpxml-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fcpxml-mcp-server on Agent Skills Hub include premiere-pro-mcp, claude-historian-mcp, AdobePremiereProMCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.