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"Supabase integration with Gmail" matching MCP servers:

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    A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.
    167
    Apache 2.0
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    DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.
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    Apache 2.0
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    Provides advanced, programmable access to Zabbix monitoring data and management features, enabling querying, automation, and integration of Zabbix resources.
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    MIT
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    Provides seamless integration between AI assistants and Prometheus, enabling natural language interactions with your monitoring infrastructure. This server allows for effortless querying, discovery, and analysis of metrics.
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    MIT
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    Model Context Protocol (MCP) Server for Vunet vuSmartMaps - A multi-tenant observability platform integration. Query metrics, traces, logs, and data models from your Vunet tenants using natural language through AI assistants like Claude, GitHub Copilot, or any MCP-compatible client.
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    MIT
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    Exposes Modal cloud functions as MCP tools for video rendering, voice synthesis, and app management. Enables LLM agents to execute Remotion renders, F5-TTS voice cloning, and monitor Modal applications via Supabase-backed infrastructure.
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    Connects MCP clients to TunnelHub to monitor automations, inspect executions, and analyze logs or traces. It enables users to manage environments and troubleshoot integration failures through natural language commands.
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    A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.
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    MIT
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    Enables AI-powered integration with Grafana instances through 52 MCP tools for dashboard management, Prometheus/Loki queries, alerting, and administrative functions. Supports complete Grafana functionality including metrics exploration, log analysis, and incident response through natural language.
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    A comprehensive read-only MCP server for Datadog, providing 117 tools to query logs, APM, metrics, monitors, dashboards, SLOs, and more, with zero write capabilities for safe AI integration.
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    MIT
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    Exposes the complete Zabbix API functionality through the Model Context Protocol, mapping API methods to tools for managing hosts, triggers, and monitoring data. It enables seamless integration and control of Zabbix monitoring environments via natural language interfaces.
    100
    MIT
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    Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.
    51
    MIT
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    A Model Context Protocol (MCP) server for the Pingera monitoring service, providing seamless integration between AI models and monitoring data.
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    MIT
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    Connects AI coding assistants to Shipbook for investigating issues using real application logs with error classification, log search, and session tracing.
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    MIT
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    Provides access to your VictoriaTraces instance and seamless integration with VictoriaTraces APIs and documentation for querying traces, services, and operations.
    12
    Apache 2.0
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    Exposes the LogicMonitor REST API as MCP tools with per-request LMv1 authentication, enabling querying of devices, alerts, reports, and more.
    Apache 2.0
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    MCP server that enables AI assistants to query and analyze Prometheus metrics through PromQL, with support for metric discovery and authentication.
    MIT