Analytics & Monitoring MCP 服务器

Finance Tools

45

Provides comprehensive financial insights and analysis to Large Language Models through a Model Context Protocol server.

Google Ads

45

Integrates the Google Ads API with Model Context Protocol clients like Claude Desktop, enabling direct data access, automated authentication, and advanced query execution.

Metoro

43

Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.

Otelcol

43

Configures OpenTelemetry Collectors dynamically through MCP tools.

JMeter

43

Enables the execution of JMeter tests via Model Context Protocol (MCP)-compatible clients.

Google Tag Manager

43

Provides an interface to the Google Tag Manager API.

Last9 Observability

42

Enables AI agents to integrate real-time production observability data into development environments.

Cosmotop

42

Monitor system performance and resources across diverse operating systems and architectures from a single, portable executable.

Flightradar24

41

Tracks flights in real-time using Flightradar24 data within Claude Desktop.

Crypto Fear Greed Index

40

Retrieves real-time and historical Crypto Fear & Greed Index data from Alternative.me.

Claude Project Coordinator

39

Streamlines multi-project Xcode development by providing robust tools for project status tracking, code pattern searching, and knowledge base management.

Naver Search

39

Integrates Naver Search and DataLab APIs for comprehensive searching and trend analysis across Naver services.

Airflow API

38

Integrates Apache Airflow API to provide comprehensive tools for cluster management, monitoring, and operations via Model Context Protocol.

Dremio

38

Eases LLM integration with Dremio through a Model Context Protocol server.

Whale Tracker

38

Tracks cryptocurrency whale transactions using the Whale Alert API.

World Bank Data

38

Enables AI assistants to interact with and analyze data from the World Bank open data API.

Iceberg

38

Enables natural language interaction with Apache Iceberg lakehouses through a Model Context Protocol (MCP) server.

MCPcat

37

Captures user intentions and behavior patterns to provide analytics for server owners.

Honeycomb

36

Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.

Ltrack

36

Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.