pulsemcp Safe content atomic mcp-remote

Video Editor

This MCP server, developed by Kirk Kaiser, enables AI-assisted video editing and searching using the Video Jungle API. It provides tools for adding videos, searching video content using embeddings, and generating edits from single or multiple video files. The implementation is built in Python 3.11+ and integrates with libraries like einops, timm, and transformers for advanced video processing capabilities. It's designed for content creators and video editors who want to leverage AI to streamline their workflow, allowing for natural language queries to find relevant video clips and automate editing tasks. The server also includes an optional feature to search local video files on macOS, making it versatile for both cloud-based and local video management.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/burningion/video-editing-mcp
Author type: human
Updated: 2026-05-27

View source Find related skills

MCP

Resolve Video Editor from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"