"Information about Snowflake Data Warehouses" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic. https://costory.io Free trial 14 days, 250 USD / month up to 10M Spend
Query cloud, AI and SaaS spend across 25+ providers: costs, budgets, anomalies, unit economics.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Video generation cost estimates across providers, with provenance, freshness, and confidence.
AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
Cloudflare Workers MCP server: data-transform
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
Generate and run high performance queries on open and private spatial data at-scale in the cloud
The home for AI-built projects: visitors, restore, publish with a safety check, data backups.
Connects AI assistants to CloudQuell multi-cloud and AI cost, savings, anomaly, and budget data.
Stargate - 42 tools for cross-chain transfers and bridge data
FinOps MCP: query allocated, correlated cloud and AI cost across AWS, GCP, Azure and Snowflake.
Inspect ACC administration data and run bounded, approval-gated bulk user workflows.
Cloud MCP for project data, analytics, research, content planning, media generation, and growth.
PostgreSQL and Apache Kafka MCP server. Provision, query, and monitor managed cloud data services from AI assistants like Claude, Cursor, and VS Code.
