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

Enables AI agents to read computers, clients, locations, alerts, and script catalog and history data from the ConnectWise Automate RMM REST API, and on explicit request reboot machines, run scripts or catalog commands, and create or update clients. Credentials are supplied per request via HTTP headers and never stored, supporting stateless multi-tenant use.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Gives MCP clients tools to inspect RenderDoc .rdc captures — listing and opening frames, querying draws, pipelines, shaders, bindings, textures, buffers and pixel history, reading GPU performance counters, and exporting buffer, texture, mesh, draw-call and Unity import packages. Multiple clients can share one local GUI or headless playback backend on Windows.

Enables AI assistants to review workflow status in n8n instances, including active/inactive counts and workflows with recent errors.

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.

Enables state-aware Terraform/OpenTofu plan evaluation against live AWS topology and CloudWatch telemetry, detecting reliability blast radius and FinOps waste before merge.

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables coding agents to log friction events (tried, failed, minutes lost) and allows reviewers to cluster, rank, and resolve these vents locally without network access.

Enables AI agents to raise and resolve incidents in ITOC360, triggering escalation policies that page on-call responders and closing alerts when problems clear.

Enables AI agents to inspect a live Celery deployment over RabbitMQ or Redis — checking which workers are responding, their pools, concurrency and consumed queues, and how many messages are backed up in each queue — so agents can diagnose stuck or unrouted tasks. Read-only by default, with broker credentials masked in all output.

Enables interacting with Bugsnag to investigate and resolve errors via natural language. Supports browsing organizations, projects, errors, stacktraces, and exception chains.

MCP Server for notify to telegram / weixin

Provides tools to query Zoho Apptics analytics data (crashes, devices, etc.) and automate iOS SDK integration into Xcode projects.

Enables assistants to list projects and issues, inspect events and stacktraces, and resolve errors across one or more self-hosted Sentry-compatible error trackers through an OAuth-protected Cloudflare Worker.

Enables agents to discover, resolve, verify, and monitor AI agents and MCP servers from the Wellknown live index, including observed liveness, reliability, and ownership claims.

Enables AI-powered analytics from Stripe, PayPal, and Google Analytics 4 (BigQuery) data sources with built-in guardrails and automated workflows for financial and web performance insights.

Enables Claude to query and manage workflows in an n8n instance, including listing workflows, checking active status, triggering executions, and reviewing execution history and details.

Lets coding agents inspect fleet health, file and investigate bugs, request coordinated restarts, and claim, release, and resolve tickets in a shared incident queue without touching processes directly.

An AI-powered security operations platform that integrates with SIEM, EDR, and case management systems via MCP to automate incident response and investigation workflows. It provides specialized tools for alert triage, threat intelligence enrichment, and endpoint remediation across vendor-neutral APIs.

Enables AI coding agents to control and inspect a live Chrome browser for reliable automation, in-depth debugging, performance analysis, and high-speed batched or parallel workflows.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

AI-native server intelligence layer for RunCloud-managed servers. Enables Claude Code to diagnose issues, manage web apps, and automate fixes in plain English via 150+ MCP tools.

Enables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.

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