data-ai MCP Server
A multi-agent system orchestrating YouTube Data API and Google Calendar via MCP servers. Features a deterministic 100-point scoring algorithm for brand-creator alignment and end-to-end workflow automation.
Discovered via github-topic:mcp-server and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Role
Responsibility
Custom HTML / CSS / JS — Newsreader serif + Inter + JetBrains Mono. No framework dependencies.
What
stdio MCP — YouTube Data API v3 (4 tools), Google Calendar API (3 tools)
SQLite — 10 brand campaigns with brand-voice descriptions, match results, history
Docker → Cloud Run via `deploy.sh`. Vertex AI as the runtime backend.
10-case golden eval harness (`tests/eval_scoring.py`) — locks in scoring behavior across signal-weight changes.
Implementation
`gemini-2.5-flash` via Vertex AI (`europe-west1`) — fallback to AI Studio for local dev
Implementing and auditing GCP VPC firewall rules to enforce network segmentation, restrict ingress and egress traffic, apply hierarchical firewall policies across the organization, and monitor firewall rule effectiveness using VPC Flow Logs.
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
The secure gateway connecting AI agents to enterprise systems.
DecisionBox connects to your data warehouse, runs autonomous AI agents that write and execute SQL, and surfaces validated insights and actionable recommendations — without you asking a single question.
Learn how to use the cloud-gcp Claude skill. Complete guide with installation instructions and examples.
Learn how to use the implementing-gcp-vpc-firewall-rules Claude skill. Complete guide with installation instructions and examples.
Learn how to use the auditing-gcp-iam-permissions Claude skill. Complete guide with installation instructions and examples.