pulsemcp Safe content atomic mcp-remote

JianYing

This MCP server provides programmatic access to JianYing (剪映) video editing functionality through Python automation and UI control. Built with comprehensive tools for draft management, media handling (video, audio, text), track operations, and export capabilities, it integrates with JianYing's desktop application using UI automation libraries like uiautomation and media processing tools like imageio and pymediainfo. The implementation includes validation systems for material overlap detection, effect management, and time formatting utilities, making it suitable for automated video editing workflows, batch processing of media content, and programmatic creation of video projects without manual interface interaction.

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.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/hey-jian-wei/jianying-mcp
Author type: human
Updated: 2026-05-22

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MCP

Resolve JianYing 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"