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MCP Connectors

"Lottery games and results" matching MCP servers:

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    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.
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    Apache 2.0
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    MCP server that transforms raw log query results into structured incident reports (Markdown, JSON, HTML) with correlation to git commits and tickets.
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    MIT
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    MCP server exposing SuperAudit’s free website audit as a callable tool, enabling AI agents to audit any public URL and receive scores across SEO, security, legal, performance, and more. No API key required; respects rate limits and caches results.
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    MIT
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    A Model Context Protocol (MCP) server for the RIPE Atlas network measurement platform. Enables AI assistants to create network measurements, retrieve results, search probes, and manage credits.
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    MIT
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    Enables searching Sumo Logic logs using the search_logs tool, with support for query parameters such as time range and maximum results.
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    MCP server for CronAlert uptime monitoring — manage monitors, check results, and incidents from any MCP-compatible AI client.
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    MIT
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    Enables agents to query warehouse safety review results, including verified alerts, semantic timeline search, and audit logs of rejected detections.
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    MIT
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    Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.
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    MIT
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    Enables AI assistants to perform vulnerability scanning on Docker/OCI images, check CVE details, analyze licenses, and compare scan results via ScanRook.
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    MIT
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    Enables monitoring and debugging of Hatchet workflows and jobs through MCP clients like Claude Code. Users can list workflows, track run statuses, query queue metrics, and retrieve job results using natural language commands.
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    MIT
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    LoopSense is an open-source MCP server that closes the feedback loop for AI coding agents — giving them real-time visibility into CI results, deployments, test outcomes, and file system changes.
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    MIT
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    Terminal\[X]MCP is a Model Context Provider (MCP) server that enables intelligent terminal automation through a multi-agent system with distributed specialized roles for command execution, security validation, and real-time monitoring.
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    MIT
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    Integrates Claude Desktop with trackings.ai to manage projects, configure keyword scans, and trigger run executions. It allows users to retrieve consolidated keyword results and monitor credit balances through natural language commands.
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    Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.
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    Enables interaction with Blacksmith CI analytics to query workflow runs, jobs, test results, and usage metrics. It provides detailed access to CI/CD data including job logs and billing information directly through Claude.
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    MIT
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    Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.
    9