Analytics & Monitoring MCP Servers

Discover our curated collection of MCP servers for analytics & monitoring. Browse 462servers and find the perfect MCPs for your needs.

Hyperliquid Info icon

Hyperliquid Info

Provides real-time data and insights from the Hyperliquid perp DEX for use in bots, dashboards, and analytics.

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Webtools

Provides web analysis tools, including HTML extraction, markdown conversion, screenshot capture, performance analysis, and Lighthouse audits.

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Etherscan Tools

Provides Ethereum blockchain data tools via Etherscan's API.

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Server Status

Monitors server status by retrieving CPU, memory, and uptime information for local or remote servers.

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Aws Bedrock Logs

Analyzes AWS Bedrock usage and logs through Anthropic's Model Control Protocol (MCP).

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Win 10 Simple Persistent Logging

Persistently logs communications for MCP Servers and backs up files before modifications, addressing potential data loss.

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Airflow

Manages and monitors Apache Airflow DAG runs.

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Jampp

Provides access to the Jampp Reporting API through the Model Context Protocol, allowing LLMs to fetch campaign performance data.

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Stock Analysis

Analyzes Indian stock portfolios and provides personalized recommendations using MongoDB data and the Alpha Vantage API.

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Spark Executor

Executes PySpark code via a Model Context Protocol (MCP) server.

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Synthetics

Manage synthetic tests effectively using natural language prompts and a RESTful API.

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ThetaBird

Enables AI agents to query data using Axiom Processing Language (APL).

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Kayzen Analytics

Enables AI models to access and analyze Kayzen advertising campaign data through a standardized interface.

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Ai Soc Sher

Analyzes security threats using AI-powered natural language to SQL conversion on an MCP Server.

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Pagespeed

Analyze webpage performance using Google PageSpeed Insights through a Model Context Protocol (MCP) server.

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SolarWinds Logs

Provides access to and visualization of SolarWinds Observability logs through a Model Context Protocol (MCP) server.

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Mokei

Facilitates the creation, interaction, and monitoring of clients and servers utilizing the Model Context Protocol.

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Lightdash

Provides a Model Context Protocol (MCP) server for accessing Lightdash's API, enabling AI assistants to interact with Lightdash data.

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Strava

Enables Claude to interact with Strava data, providing access to activities, details, kudos, and laps.

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Elasticsearch

Enables interaction with Elasticsearch clusters, allowing for searching documents, analyzing indices, and managing the cluster via a set of tools.

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