analytics & monitoring向けの厳選されたMCPサーバーコレクションをご覧ください。2531個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables AI agents to programmatically connect to and control an Apache Superset instance.
Generates charts using the QuickChart.io service through Model Context Protocol (MCP).
Provides access to Google Search Console data through the Model Context Protocol.
Provides PostgreSQL database management capabilities, assisting with analysis, debugging, schema management, data migration, and monitoring.
Enables interaction with Snowflake databases through a Model Context Protocol (MCP) server, facilitating SQL query execution and data insight memo management.
Exposes a UniFi Network Controller as a set of programmable tools accessible via the Model Context Protocol (MCP).
Connects the Wazuh SIEM to applications needing contextual security data via the Model Context Protocol (MCP).
Connects Google Analytics 4 data to MCP clients, enabling natural language queries for website traffic and user behavior analysis with access to 200+ GA4 dimensions and metrics.
Connect AWS FinOps capabilities to an AI assistant for cloud cost analysis, waste auditing, and budget insights using natural language.
Provides an intelligent server for Excel file analysis, data processing, code execution, and interactive chart generation using the Model Context Protocol.
Integrates Zabbix monitoring capabilities with AI assistants and MCP-compatible tools, enabling comprehensive control over hosts, items, triggers, and problems.
Provides an MCP server to search and analyze Facebook's public ads library for competitive intelligence and marketing insights.
Orchestrates experimental, small-scale engineering agents with multi-provider LLM support for comparative evaluation.
Democratize access to petabytes of satellite data by transforming AI assistants into geospatial intelligence powerhouses.
Empowers developers to connect AI applications to external data sources, APIs, and tools using a single function call.
Enables AI assistants to programmatically interact with Power BI models, facilitating tasks like reading model structure, running DAX queries, and managing measures through natural conversation.
Empowers AI agents like Claude to autonomously trade, analyze, and manage positions on Polymarket prediction markets with an extensive toolset.
Empowers AI assistants to programmatically interact with Power BI models, enabling them to read model structures, execute DAX queries, and manage various model components through natural language.
Enables LLM clients to perform read-only Linux system administration, diagnostics, and troubleshooting remotely on RHEL-based systems.
Captures and manages application errors with Airbrake/Sentry compatibility and a PostgreSQL backend.
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