MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Orientation and index for DaVinci Resolve MCP work — grading, editing, conforming, delivery, media analysis, and .drp/.drt/.drx file work, live in a running Resolve or offline with none open.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-mcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/resolve-mcp .claude/skills/resolve-mcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "resolve-mcp" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcp into .claude/skills/resolve-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-mcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcpType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/resolve-mcp .agents/skills/resolve-mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resolve-mcp" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcp into .agents/skills/resolve-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-mcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/resolve-mcp .cursor/skills/resolve-mcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "resolve-mcp" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcp into .cursor/skills/resolve-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-mcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/samuelgursky/davinci-resolve-mcp.git --path .agents/skills/resolve-mcp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/resolve-mcp .gemini/skills/resolve-mcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "resolve-mcp" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcp into .gemini/skills/resolve-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-mcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-mcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/resolve-mcp .github/skills/resolve-mcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "resolve-mcp" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcp into .github/skills/resolve-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-mcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install samuelgursky/davinci-resolve-mcp resolve-mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/samuelgursky/davinci-resolve-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/resolve-mcp .opencode/skills/resolve-mcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "resolve-mcp" agent skill from https://github.com/samuelgursky/davinci-resolve-mcp/tree/main/.agents/skills/resolve-mcp into .opencode/skills/resolve-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resolve-mcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
resolve-mcpOrientation and index for DaVinci Resolve MCP work — grading, editing, conforming, delivery, media analysis, and .drp/.drt/.drx file work, live in a running Resolve or offline with none open.
Resolve MCP is an agent skill from samuelgursky/davinci-resolve-mcp. Orientation and index for DaVinci Resolve MCP work — grading, editing, conforming, delivery, media analysis, and .drp/.drt/.drx file work, live in a running Resolve or offline with none open. Load this for a map of the domain skills, the live-vs-offline servers, and the cross-cutting safety rules. The per-domain skills (resolve-color / resolve-edit / resolve-conform / resolve-delivery / resolve-media-analysis) carry the depth and self-trigger on their own descriptions; use this as the map, or when a task spans…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: MCP server integration for DaVinci Resolve Studio. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 94c7a88. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Resolve MCP loads about 1.5k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 612 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from samuelgursky/davinci-resolve-mcp at commit 94c7a88, republished under its MIT licence (© samuelgursky). 612 words, ~1,454 tokens.
.claude/skills/resolve-mcp/SKILL.md (or your agent's skills folder).Orientation for any Resolve MCP task. This is the map, not the depth — each
domain skill below carries its own routing and triggers on its own description.
Open the one that matches, or use this when a task spans several domains. This
skill does not auto-load the others; it points at them.
davinci-resolve (Python): drives a running Resolve via the
scripting API.davinci-resolve-advanced (Node): authors
.drp/.drt/.drx files and patches the project DB with no Resolve open.Rule of thumb: compute grades, QC, and conform math offline; apply the result live. Node never drives Resolve.
| Task | Skill | Kernel | Any-MCP-client prompt |
|---|---|---|---|
| Grading, looks, shot match, LUT/CDL/DRX | resolve-color | color-grade-kernel.md | /color_grade_workflow |
| Cutting, trimming, ranges, variants, changelist | resolve-edit | timeline-edit-kernel.md | /timeline_edit_workflow |
| Conform, relink, finishing QC, grade tracing | resolve-conform | timeline-conform-interchange-kernel.md | /conform_workflow |
| Render, deliverable QC, media/provenance | resolve-delivery | render-deliver-kernel.md | /delivery_workflow |
| Fusion comps (titles, MG, VFX) | resolve-fusion | fusion-composition-kernel.md | /fusion_workflow |
| Audio / Fairlight (tracks, buses, loudness) | resolve-audio | audio-fairlight-kernel.md | /audio_workflow |
| Media pool ingest / organize / multicam | resolve-media-pool | media-pool-ingest-kernel.md | /media_pool_workflow |
| Reading/analyzing source media | resolve-media-analysis | media-analysis-guide.md | /analyze_media |
These have real coverage but low enough traffic that they route through this index rather than their own skill:
project_manager compound tool →
docs/kernels/project-lifecycle-kernel.md. Offline DB read/patch: advanced
project_read / project_db (project CLOSED + quit/relaunch).timeline_markers → docs/kernels/review-annotation-kernel.md.
Offline audit/lineage: advanced provenance.script_plugin → docs/kernels/extension-authoring-kernel.md,
docs/authoring/.pipeline tool →
resolve-advanced/README.md.The scripting API changes per PATCH release, not per major one. "Resolve 21"
is not a fine enough label to reason from: GetFairlightPresets exists on 20.2.2
and not on 19.1.3, and three surfaces reported in 21.0.4 are absent from 21.0.2.
Guidance given without knowing the build is how an agent ends up insisting a
method is there when it is not (issue #132).
So, before describing what is possible:
resolve_control get_version → note both version_string (the Resolve
build) and mcp.version (this server).resolve_control check_version_support → every recorded gate this build does
not clear. With a symbol, it answers for one method.resolve_control api_truth "<topic>" → each fact now carries a
version_context saying whether it was measured on an older, newer, or
identical build. An older measurement is a prior, not a finding.Two failure modes worth naming, because neither announces itself:
unknown is the common answer, and it means probe — not yes. Only
surfaces with recorded evidence are gated; most of the API has never been
version-bisected. Absence from the unavailable list is not a promise that a
method exists.mcp.version is the version this process STARTED with. A running server
keeps executing it, so git pull does not refresh the ledger until restart —
an api_truth miss may mean "stale server", not "no known issues".When a build is too old for what was asked, say so and name the floor. Do not offer the call and let it fail.
capabilities tool).AGENTS.md — canonical brief + the ## Domain Routing index (all platforms).docs/SKILL.md — operating reference for both servers.docs/kernels/ — per-action depth. resolve-advanced/README.md — offline catalog.© samuelgursky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/resolve-mcp of samuelgursky/davinci-resolve-mcp.
Open the folder on GitHubat commit 94c7a88
Resolve MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Resolve MCP this skillsamuelgursky/davinci-resolve-mcp | 3.4k | — | ~1.5k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
warpdotdev/warp
Migrates the compatible subset of settings and global file-based MCP servers from the Warp desktop app into Warp Agent CLI without exposing credentials or state.
samuelgursky/davinci-resolve-mcp
Assembling a short-form social rough cut from raw behind-the-scenes or vlog footage in the DaVinci Resolve MCP.
samuelgursky/davinci-resolve-mcp
The editorial and finishing preferences this project's work is judged against — cut rhythm, shot selection, delivery conventions, and the corrections that have already been given.
samuelgursky/davinci-resolve-mcp
Audio and Fairlight work in the DaVinci Resolve MCP. An agent skill from samuelgursky/davinci-resolve-mcp.
samuelgursky/davinci-resolve-mcp
Color grading and look work in the DaVinci Resolve MCP. An agent skill from samuelgursky/davinci-resolve-mcp.
samuelgursky/davinci-resolve-mcp
Conforming, relinking, and finishing prep in the DaVinci Resolve MCP.
samuelgursky/davinci-resolve-mcp
Delivery, rendering, and deliverable QC in the DaVinci Resolve MCP.
Works with
Categories
Orientation and index for DaVinci Resolve MCP work — grading, editing, conforming, delivery, media analysis, and .drp/.drt/.drx file work, live in a running Resolve or offline with none open. Resolve MCP is an agent skill from samuelgursky/davinci-resolve-mcp.drx file work, live in a running Resolve or offline with none open.
Resolve MCP fits situations like: their own descriptions; use this as the map; A task spans several domains.
Run `npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a claude-code`. Or copy the skill folder (.agents/skills/resolve-mcp in samuelgursky/davinci-resolve-mcp) into .claude/skills/resolve-mcp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a codex`. Or copy the skill folder (.agents/skills/resolve-mcp in samuelgursky/davinci-resolve-mcp) into .agents/skills/resolve-mcp in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add samuelgursky/davinci-resolve-mcp --skill resolve-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resolve-mcp, .gemini/skills/resolve-mcp, .github/skills/resolve-mcp and .opencode/skills/resolve-mcp in your project.
Going by SKILL.md and its folder, Resolve MCP needs the command-line tools its instructions call (git). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Resolve MCP is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Resolve MCP: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
samuelgursky (a GitHub user) maintains it in samuelgursky/davinci-resolve-mcp, which has 3,448 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.
Source: samuelgursky/davinci-resolve-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.