"Blackmagic Design" matching MCP servers:

Enables AI assistants to query self-hosted OxiLytics analytics for app downloads, crashes, reviews, and sync health, with a read-only design that keeps data on your own server.

Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.

Enables AI agents and MCP clients to perform read-only SQL Server DBA investigations across health, performance, backups, jobs, security, and schema design. It allows the AI to suggest fixes, but SQL Server permissions and tool checks prevent any database changes.

Enables reading release lifecycle status, recent written reviews and bulk monthly report CSVs for allowlisted apps, and searching the full pinned Play API catalog with each method's implementation status. Read-only by design, with keyless authentication, explicit app allowlists and bounded, GET-only access to official Google interfaces.

API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server lets AI agents work in that workspace under the permissions of the connected account.

A security-first MCP server for Umami analytics (Cloud and self-hosted v3) enabling analytics, reporting, and administration with least privilege and credential-safe design.

Enables MCP clients to design and update an e-ink dashboard for a Kindle Paperwhite EY21, with widgets, live system metrics, and HTTP-based rendering.

An MCP server that enables Claude to manage infrastructure across Kubernetes, Docker, Prometheus, and Terraform through natural language. It provides over 42 specialized tools with a safety-first design, including risk-based command classification and audit logging.

The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts. Its extensible design allows easy integration of additional Datadog APIs for future expansions.

Enables AI agents to query Oracle Integration Cloud read-only across multiple environments in plain language, covering integrations, runtime instances, errors, schedules, connections and flow design through 36 GET-based tools.

Enables MCP clients such as Claude, Copilot and IDE agents to interrogate a building's digital twin in plain language through seven tools covering building overview, room lists, per-room design promises, diagnosed findings, room time series, sandboxed read-only SQL and BCF issue export. Answers whether each room still meets its own design intent — and why not — instead of relying on fixed thresholds.

Enables Claude to read a project's FastStats metrics and then design, validate against real data, and publish charts, dashboards, event markers, and custom data sources. Every write is previewed and dry-run first, with read-only mode and confirmation guards for destructive actions.

Enables auditing and monitoring of AI agent MCP tool calls, with behavioral anomaly detection, lab-scoped red-team simulation, and Telegram notifications.

An MCP server for retrieving and filtering logs from Mezmo with a quota-conscious design and intelligent defaults. It enables users to discover and query logs by application, level, and custom time ranges to streamline debugging while minimizing API usage.

A read-only, OAuth 2.1-authenticated MCP server that lets Claude inspect the live state of a self-hosted server — system resources, containers, service and website health, n8n automations, video jobs, backups, repositories, error summaries, a component design system, uptime monitoring, and its own audit trail. All twenty-one tools are strictly observation-only, with no shell, file browser, SQL console, or Docker socket, so nothing can be started, stopped, deployed, or deleted.

A containerized server that enables AI clients to perform automated network packet analysis, protocol inspection, and traffic forensics using Wireshark/tshark. It features a stateless design that synchronizes PCAP files directly from GitHub for secure and ephemeral analysis sessions.

An MCP server that monitors 12 Australian SMB intelligence sources to analyze market signals and provide structured data for content strategy agents. It enables users to track regulatory changes, AI trends, and business data through automated signal grading and Slack integration.