"DaVinci Resolve" matching MCP servers:

Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.

Audits local package folders to generate publish-readiness reports and previews of NPM tarball contents. It helps developers identify and resolve configuration issues like missing types or broken exports before releasing code.

MCP server for instruckt visual annotations. Enables AI agents to retrieve pending annotations, view screenshots, and resolve annotations.

Validates PDF page-tree integrity by checking that page kids resolve to page objects, content streams are properly referenced, no orphan pages exist, and counts match, while also flagging blank pages via missing text operations.

MCP server that helps resolve Robocop static code analysis errors and warnings via LLM, providing tools to get reports and run format.

Enables AI coding agents to pull, triage, and resolve user feedback pinned directly on live web prototypes via MCP tools.

Enables AI agents and software engineers to investigate and resolve realistic distributed-system incidents using safe MCP-based diagnostic tools for code, logs, metrics, traces, database, and deployments.

MCP server for visual feedback, video direction, and QA assertions on web pages, enabling AI agents to read, reply, and resolve annotations in real time.

MCP server that lets coding agents receive UI feedback from a browser overlay—clicked elements, selectors, source paths, and computed styles—and manage it with watch, ask, acknowledge, resolve, and dismiss tools.

Detect live website vulnerabilities and security flaws in GitHub repositories using automated DAST and SAST scanning. Safeguard applications by identifying exposed secrets, insecure dependencies, and common code patterns prone to exploitation. Receive structured fix plans with precise code remediation steps to resolve identified risks and improve security posture.

Prove your SRE agent can resolve incidents before production by replaying synthetic incidents and scoring agent performance via MCP tools.

Enables UI feedback loop by clicking elements, leaving comments, and letting AI coding agents (via MCP) resolve annotations interactively.

Provides AI assistants with advanced frontend debugging capabilities through 36 specialized tools for inspecting React/Vue/Angular/Svelte applications. Uses Playwright browser automation and source map intelligence to analyze components, network requests, bundle optimization, and resolve production errors.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.