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DareDev256
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DareDev256/fcp-mcp-server

MCP server for Final Cut Pro XML. Lets Claude read, edit and generate real timelines: cut detection, markers, roles, transcript-based editing. Published on PyPI as fcp-mcp-server.

Python ◇ ai MIT
★110STARS
⑂21FORKS
!2ISSUES
🏆#6,634GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for DareDev256/fcp-mcp-server
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#763

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

fcp-mcp-server gained 10 stars in the last 30 days, about 1 a day, and now has 110. It is about 1 year old and has averaged roughly 110 stars a year. It ranks #763 among Python repositories and #6,634 across all languages on GitHubRepo.

Trending Record

fcp-mcp-server has maintained a continuous presence across global trending indexes, peaking at #4588. Below is the 30-day activity profile:

💡 Overview

fcp-mcp-server is an open-source project written in Python: MCP server for Final Cut Pro XML. Lets Claude read, edit and generate real timelines: cut detection, markers, roles, transcript-based editing. Published on PyPI as fcp-mcp-server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, anthropic, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install fcp-mcp-server

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

fcp-mcp-server coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with fcp-mcp-server.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install fcp-mcp-server using your package manager: `pip install fcp-mcp-server`

2

Initialize your project workspace or configuration file for fcp-mcp-server.

3

Import fcp-mcp-server into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `fcp-mcp-server --help` to verify successful setup.

👍 Strengths

Active community backing with 110 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

DareDev256/fcp-mcp-server is currently ranked #6,634 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#6,607 tlbx-ai/tlbx C# ★ 111 Compare ↗
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#6,607 potatobeanradio/circuitRF C# ★ 111 Compare ↗
#6,607 kishormorol/cli-faq-shortcuts Python ★ 111 Compare ↗
#6,607 simonro/edge-scanner Python ★ 111 Compare ↗
#6,634 DareDev256/fcp-mcp-server This Project Python ★ 110
#6,634 dan-manges/unit-record Ruby ★ 110 Compare ↗
#6,634 hinke/the-cloud-player JavaScript ★ 110 Compare ↗
#6,634 galaxyproject/planemo Python ★ 110 Compare ↗
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Frequently Asked Questions

What does fcp-mcp-server do? +

MCP server for Final Cut Pro XML. Lets Claude read, edit and generate real timelines: cut detection, markers, roles, transcript-based editing. Published on PyPI as fcp-mcp-server.

What language is fcp-mcp-server written in? +

The primary language is Python. Topics include: ai, anthropic, claude, cli, developer-tools.

Is fcp-mcp-server actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 2 open issues being tracked.

How many stars does fcp-mcp-server have? +

fcp-mcp-server has 110 stars and 21 forks on GitHub.

How does fcp-mcp-server rank among GitHub repositories? +

With 110 stars, DareDev256/fcp-mcp-server is ranked #6,634 globally across all repositories tracked on GitHubRepo and #763 among Python projects.

What license is fcp-mcp-server distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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