dvr
DaVinci Resolve CLI, Python library, and MCP server. Automate editing, color, and rendering with LLM-friendly tools for AI agents (Claude, Cursor), declarative specs, and structured JSON output. No more silent None returns.
dvr is a command-line tool, a typed Python library, and a Model Context Protocol (MCP) server for automating DaVinci Resolve — editing, color grading, rendering, and delivery. It turns Resolve's fragile scripting API into clean, idempotent operations with structured JSON output, so humans, scripts, and AI agents (Claude, Cursor, and any MCP-compatible client) can drive Resolve reliably.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mhadifilms-dvr — read its card at https://meshkore.com/agent/mhadifilms-dvr/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/mhadifilms-dvrFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mhadifilms-dvr/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own dvr?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.