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maintenanceEnables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.
21
MIT
72,114 servers. Updated
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"A guide for improving AI prompt output quality" matching MCP servers:
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- 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
- AlicenseCqualityBmaintenancePerimeter security for your AI Infrastructure.605817AGPL 3.0
Confident AIofficial
Alicense-qualityBmaintenanceConnects AI-powered tools to the Confident AI platform for evaluating, observing, and iterating on AI quality, enabling cloud evaluations, dataset management, prompt versioning, production tracing, and human annotations directly from editors like Cursor and Claude Code.2MIT
@verlon-ai/mcpofficial
AlicenseAqualityBmaintenanceModel Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.5118MIT- AlicenseAqualityDmaintenanceEnables LLMs to query telemetry data via the Spyglass AI agent, providing intelligent insights about application performance, errors, and bottlenecks.1MIT
- FlicenseAqualityBmaintenanceEstimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.9
- AlicenseBqualityCmaintenanceConnects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.235MIT
- Flicense-qualityCmaintenanceEnables AI assistants to monitor and analyze industrial process data from DCS/SCADA systems via MCP protocol, with domain expert knowledge for anomaly detection and recommendations.
- Alicense-qualityDmaintenanceEnables comprehensive integration with Azure AI services including OpenAI, Cognitive Services, Computer Vision, and Face API through a mission-critical MCP server. Provides enterprise-grade reliability with high availability, observability, chaos engineering, and secure multi-region deployment capabilities.MIT
- Alicense-qualityDmaintenanceTransforms Elasticsearch into an AI-powered observability engine for analyzing logs, APM traces, and system metrics through natural language.4Apache 2.0
- Alicense-qualityAmaintenanceAI Ops - MCP server providing AI-powered tools and automation by MEOK AI Labs12MIT
- Alicense-qualityAmaintenanceHealth Check AI - MCP server providing AI-powered tools and automation by MEOK AI Labs10MIT
- Alicense-qualityDmaintenanceA MCP server for tracking AI usage metrics and structured logs across applications. Monitor model calls, analyze usage patterns, track costs, and debug AI interactions.10MIT
- Alicense-qualityCmaintenanceMCP server for browser debugging, inspection, and verification that streams console logs, network errors, and user actions into AI coding assistants.65AGPL 3.0
- Alicense-qualityBmaintenanceAn MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.MIT
- Flicense-qualityDmaintenanceUnified local MCP AI Gateway that routes across Groq, OpenRouter, Mistral, and local Ollama providers, with OpenAI-compatible APIs, MCP tools, fallback/racing router, monitoring, and web dashboard.
- Flicense-qualityCmaintenanceEnables LLM clients to access DevSecOps tooling such as CI/CD pipeline status, vulnerability triage, log search, and dependency scanning through MCP, turning AI copilots into security-aware engineering partners.
- Flicense-qualityBmaintenanceEnables AI clients to automatically investigate dbt test failures, trace root cause through BigQuery lineage, and generate plain-English incident reports.1
