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DaVinci Resolve

DaVinci Resolve MCP Server enables AI assistants to interact directly with DaVinci Resolve video editing software through a comprehensive API bridge. Built with FastMCP, it exposes resources for accessing project information, timeline details, media pool contents, and gallery albums, while providing tools for creating and manipulating projects, timelines, clips, and color grades. The implementation connects to Resolve's Python API, handling the complexities of cross-platform scripting module discovery and object management. This server is particularly valuable for video editing workflows where AI assistance can help with project organization, timeline assembly, color grading, and render management without requiring manual switching between applications.

Cognium trust score

55%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/tooflex/davinci-resolve-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve DaVinci Resolve 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"