"How to automate workflows in DaVinci Resolve and Fusion" matching MCP servers:

Connects AI coding assistants (Cursor, Claude Desktop) to DaVinci Resolve, enabling control of video editing workflows through natural language commands for project management, timeline operations, and media pool tasks.

Exposes 20 tools for project, media, render, and timeline control in DaVinci Resolve 18+ via stdio MCP, enabling AI agents to operate the software through natural language.

Run YAML workflows as MCP tools so agents can automate real tasks with one server.

A Model Context Protocol implementation that enables LLMs to execute complex, multi-step workflows combining tool usage with cognitive reasoning, providing structured, reusable paths through tasks with advanced control flow.

A Model Context Protocol server that connects LLMs with Autodesk Fusion, enabling CAD operations through natural language dialogue.

MCP server for authoring, validating, simulating, and publishing workflows for the Runbook workflow engine, including branch and run management.

Local-first MCP server and Chromium extension for AI-assisted Microsoft Power Automate work, enabling users to inspect, validate, edit, run, review, and revert cloud flows using a browser session.

Enables AI assistants to edit Power Automate cloud flows live, including reading/writing flow definitions, managing connectors, and syncing changes, with no admin rights or app registration required.

Enables MCP-compatible assistants to control Autodesk Fusion for mechanical modeling, assembly editing, CAM workflows, inspection, and model export through Fusion's native MCP endpoint.

Enables building and running MCP servers for Umbraco add-ons, with tools for API interactions, OAuth setup, and testing via MCP Inspector or Claude Code.

Enables AI assistants to manage and troubleshoot PingOne DaVinci identity orchestration flows, applications, connectors, variables, and forms through standardized MCP tools.

Enables MCP hosts to batch known repository reads, literal searches and Git inspections, summarize noisy command output into compact diagnostics, and recover captured stdout/stderr bytes through bounded, expiring evidence receipts. Optional guarded TypeSafe decisions select among validated candidate actions or escalate to the current host, while deterministic local reads run without a key and never send repository contents externally.

A safety-first Autodesk Fusion 360 MCP add-in that enables agents to inspect, plan, validate, and package CAD changes without blindly running raw scripts, with structured tools and preflight checks.

Enables durable multi-agent workflow runs for Codex with a live terminal dashboard, restartable agents, and bug-finding templates, all controllable through natural language.

An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with Google Workflows API, allowing management of workflow executions and definitions through natural language commands.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

Enables AI clients to interact with multiple IDA Pro instances (GUI and headless) for reverse-engineering tasks, routing each tool call to the correct database via instance_id.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

Debug, build, and manage Microsoft Power Automate cloud flows with AI agents. Get action-level error details, build flows from natural language, trigger and resubmit runs, and operate across multiple tenants. Requires a Flow Studio MCP subscription — get an API key at https://mcp.flowstudio.app

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

AI-powered MCP server for IDA Pro with Fusion enhancements. Provides persistent SQLite caching, multi-binary analysis, QiChuEntry integration, worker supervision, and scalable reverse-engineering workflows. Based on the mrexodia upstream with extensive extensions for automation and large-scale analysis.

A remote MCP server that lets AI agents build, run, and manage Automat RPA workflows.

Enables users to describe an LLM fine-tuning job and receive ranked, task-aware GPU recommendations with estimated VRAM/FLOPs, cost, and runtime across more than ten cloud providers.

Enables users to describe an LLM fine-tuning job and receive the cheapest, fastest, or most balanced GPU options across multiple cloud providers by calculating required VRAM and FLOPs.

Enables users to describe an LLM fine-tuning job and receive ranked GPU recommendations across a dozen cloud providers based on estimated VRAM/FLOPs, live pricing, cost, and speed. It returns cheapest, fastest, and balanced hardware options without manual comparison.

Enables users to describe an LLM fine-tuning job once and get ranked GPU hardware recommendations with estimated VRAM/FLOPs, cost, and runtime across a dozen cloud providers.

It enables users to describe an LLM fine-tuning workload once and automatically estimates required VRAM/FLOPs, compares live GPU pricing across cloud providers, and returns ranked cheapest, fastest, or balanced hardware recommendations.

Enables users to describe an LLM fine-tuning workload and receive ranked, task-aware GPU recommendations by estimating required VRAM/FLOPs and comparing live pricing across a dozen cloud providers.

Enables users to describe an LLM fine-tuning job once and receive ranked GPU recommendations across many cloud providers based on estimated VRAM/FLOPs, cost, and runtime.