"Lottery games and results" matching MCP servers:

An MCP Server that provides access to Google's Cloud Tool Results API, enabling applications to programmatically interact with test results from Firebase Test Lab and mobile app testing through natural language.

Enables AI assistants to run engineering simulations on cloudHPC, including inspecting cases, getting resource advice, uploading, launching, monitoring, diagnosing errors, and downloading results.

Enables AI assistants to execute SQL queries against AWS Athena databases, check query status, retrieve results, and manage saved queries with support for both local and remote deployment via Lambda.

Enables exploring Google BigQuery metadata and running bounded, read-only GoogleSQL queries with dry-run validation, byte limits, and paged results.

An MCP server for BigQuery that lets Claude answer questions about your search and analytics data, providing real analysis with verdicts and recommendations, not just raw query results.

An MCP server that allows AI assistants to execute SQL queries against Amazon Athena and retrieve results in structured formats.

A Model Context Protocol server that provides enhanced real-time search capabilities by integrating with Alibaba Cloud IQS APIs to deliver clean, accurate results from multiple data sources.

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.

Enables submitting OpenQASM 2.0 circuits to IBM Quantum hardware and simulators, with job polling and histogram results, from any MCP client.

Enables benchmarking and inference of LLMs on Arm64 cloud instances with KleidiAI optimizations, providing an MCP-compatible API for serving results.

Enables an AI agent to browse DynamoDB tables and S3 buckets and objects without being able to modify anything, thanks to SDK-layer write blocking, capped and pageable results, optional table/bucket scoping, secret redaction, and a fail-closed audit log.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

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 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.

A Model Context Protocol server that integrates with Amazon Braket, allowing AI assistants to access, control, and interpret results from quantum computing resources.

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

Enables natural-language queries of AWS spend and Bedrock usage data, providing detailed breakdowns by service, region, account, user, instance type, and model, including cross-account cost analysis.

Analyzes Prowler security scan results for cloud environments, providing detailed security analysis and summary reports through Claude Desktop.

Enables analysis of Prowler security scan results, providing detailed security analysis, security summary, and file retrieval capabilities.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.