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"Proof-of-Concept Examples for Multi-Component Processes (Model Context Protocol)" matching MCP servers:
- AlicenseAqualityCmaintenanceEnables managing multiple Microsoft Clarity projects by routing requests per client name using a token map, proxying the official Clarity MCP server with tools to list and switch clients.511MIT
- FlicenseBqualityDmaintenanceTracks protocol adherence and maintains audit trails for Claude sessions, providing tools for logging steps, activities, and violations, and computing compliance scores.8
- AlicenseBqualityCmaintenanceFree remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp3MIT
- Alicense-qualityBmaintenanceAn MCP server that pulls PageSpeed Insights and Google Search Console data across multiple owned sites, enabling cross-site performance reports and synthesis via Claude.MIT
- Alicense-qualityAmaintenanceShows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.MIT
- AlicenseAqualityDmaintenanceContext window usage estimation for AI coding agents via MCP, enabling proactive state preservation before compaction.11MIT
- AlicenseAqualityDmaintenanceAn unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.14171MIT
- AlicenseAqualityAmaintenanceEnables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.5327Apache 2.0
- Alicense-qualityAmaintenanceWindows tray process that exposes local ambient context (presence, foreground app, battery, etc.) as MCP tools with privacy classification and opt-in controls.3MIT
- Flicense-qualityCmaintenanceEnables AI agents to access real-time Windows PC context including active window, system performance, screen time, productivity analytics, and historical usage through MCP tools.
- Flicense-qualityCmaintenanceEnables debugging of distributed transactions by continuously ingesting Docker container logs, indexing them by trace/request ID, and exposing MCP tools to search, tail, and correlate logs across services.
- Flicense-qualityDmaintenanceProvides unified project context and monitoring capabilities including project health metrics, build diagnostics, Git integration, and infrastructure validation to initialize development sessions with comprehensive project information.
- Alicense-qualityAmaintenanceBrings live project context into Slack via MCP, enabling developer teams to check service health, recall team decisions, search code, and query project context directly from chat.MIT
- Alicense-qualityCmaintenanceAn MCP server that functions as an intelligent gateway for multiple LLM backends including OpenAI, Claude, and Ollama. It supports automatic provider fallback, streaming responses via Server-Sent Events, and real-time monitoring for robust AI integration.MIT
- AlicenseBqualityCmaintenanceMCP server for monitoring and managing SAP Cloud Integration (CPI) tenants via OData APIs, supporting multi-tenant configurations and extensive tools for message logs, integration flows, deployments, and admin operations.46MIT
- AlicenseBqualityDmaintenanceA proof-of-concept Prometheus MCP server, which likely enables Claude AI to interact with Prometheus monitoring systems through the Model Context Protocol.21MIT
- AlicenseCqualityCmaintenanceAn MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.1123Apache 2.0
- Alicense-qualityAmaintenanceMCP server that integrates with VictoriaMetrics vmanomaly API to enable AI-assisted anomaly detection, model management, and configuration generation.9Apache 2.0
- Alicense-quality-maintenanceBridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.
