Borrowing it
Nothing to install: this file belongs to apvlv/davinci-resolve-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/apvlv/davinci-resolve-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/apvlv/davinci-resolve-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/apvlv/davinci-resolve-mcp/agents-md)<a href="https://agentmods.dev/instructions/apvlv/davinci-resolve-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/apvlv/davinci-resolve-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00823 | $0.00823 |
| Opus 5 | $0.00411 | $0.00411 |
| Sonnet 5 | $0.00165 | $0.00165 |
| Haiku 4.5 | $0.00082 | $0.00082 |
Grade A, and why
davinci-resolve-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PROJECT KNOWLEDGE BASE
Generated: 2026-02-08 13:48:19 America/New_York Commit: d6e393d Branch: main
OVERVIEW
Python MCP server exposing DaVinci Resolve and Fusion operations as MCP resources/tools.
Single runtime package under src/davinci_resolve_mcp; CI/release automated via GitHub Actions.
STRUCTURE
./
├── src/davinci_resolve_mcp/ # Runtime server + Resolve API bridge
├── tests/ # Minimal import smoke tests
├── .github/workflows/ # CI + semantic-release/publish
├── pyproject.toml
├── Makefile
└── README.md
WHERE TO LOOK
| Task | Location | Notes |
|---|---|---|
| Add/modify MCP resource/tool surface | src/davinci_resolve_mcp/server.py |
@mcp.resource and @mcp.tool definitions |
| Resolve API wrappers / platform-specific connect logic | src/davinci_resolve_mcp/resolve_api.py |
OS-dependent DaVinciResolveScript import paths |
| Package entrypoint/version | pyproject.toml, src/davinci_resolve_mcp/__init__.py |
Script entrypoint is davinci_resolve_mcp.server:main |
| Dev workflow commands | Makefile, README.md |
uv-based local workflow |
| CI/release behavior | .github/workflows/ci.yml, .github/workflows/release.yml |
PR lint/test; push-to-main semantic release + PyPI publish |
CODE MAP
LSP unavailable in this environment (basedpyright-langserver missing), so map is AST/grep-derived.
| Symbol | Type | Location | Refs | Role |
|---|---|---|---|---|
ResolveAPI |
class | src/davinci_resolve_mcp/resolve_api.py |
n/a | Resolve/Fusion connection and wrapper methods |
mcp = FastMCP("DaVinci Resolve") |
server object | src/davinci_resolve_mcp/server.py |
n/a | MCP app container |
main |
function | src/davinci_resolve_mcp/server.py |
n/a | CLI entrypoint used by project script |
CONVENTIONS
uvis the default package/env/task runner; commands in docs and workflows assumeuv.- Lint/format standardized on Ruff; lint ignores E501 and line length is 100.
- MCP endpoints return user-facing strings rather than structured JSON payloads.
server.pyis intentionally monolithic: resources/tools colocated in a single file.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 69 lines · 823 tokens per session scan A 3080d99bbe0c
davinci-resolve-mcp AGENTS.md is an instructions file published in the GitHub repository apvlv/davinci-resolve-mcp (77 stars, last pushed 5mo ago), licensed MIT. It adds 823 tokens to every session, about $0.0041 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.