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"Employee Attrition Analysis and Prediction MCP" matching MCP servers:

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    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
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    quality
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    maintenance
    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.
    40
    1
    Apache 2.0
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    quality
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    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.
    MIT
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    license
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    quality
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    maintenance
    An MCP server for accessing real-time AWS pricing information and providing cost analysis capabilities, with no AWS credentials required.
    9
    Apache 2.0
  • A
    license
    A
    quality
    F
    maintenance
    Validates BigQuery SQL syntax and performs dry-run analysis without executing queries, providing cost estimates, referenced tables, and schema previews.
    2
    Apache 2.0
  • F
    license
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    quality
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    maintenance
    Enables comprehensive analysis of AWS Lambda performance including cold start tracking, memory utilization monitoring, cost analysis, and optimization recommendations. Provides real-time metrics, comparative analysis across multiple functions, and actionable insights to improve Lambda performance and reduce costs.
    8
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    maintenance
    An implementation that enables AI assistants to interact with Kubecost cost management platform through natural language, providing access to budget management and cost analysis features.
    8
    4
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    A clean, simple Model Context Protocol (MCP) server that integrates Firebase Crashlytics with BigQuery for AI-powered crash analysis. Built for use with Claude Code and other MCP-compatible AI assistants.
    5
    1
    MIT
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    quality
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    maintenance
    An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.
    10
    MIT
  • F
    license
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    quality
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    maintenance
    Provides comprehensive access to 471+ DigitalOcean API endpoints, enabling AI assistants to manage cloud infrastructure including droplets, databases, load balancers, DNS, Kubernetes, and other DigitalOcean resources programmatically.
    6
  • A
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    Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.
    1
  • F
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    quality
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    maintenance
    Exposes Microsoft Fabric operations as MCP tools, with 105 tools across 17 domains including lakehouses, warehouses, notebooks, pipelines, and real-time analytics, handling long-running operations and supporting multiple authentication modes.
    100
  • A
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    C
    quality
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    maintenance
    An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.
    18
  • A
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    quality
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    maintenance
    A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.
    1
    Apache 2.0