Discover and integrate analytics MCP servers to extend Claude's capabilities
18 analytics MCP Servers Available
Tools for seamless integration of different systems and services.
Cloud infrastructure and deployment management tools.
AI-powered tools for creative design workflows across 3D and 2D mediums.
AI-powered tools for product development, design review, and performance monitoring.
Tools for monitoring, analytics, and operational efficiency.
An MCP server for interacting with Sentry via LLMs.
A Model Context Protocol server for monitoring shadow-cljs builds
This is a Model Context Protocol (MCP) server implemented in Go, providing a tool to analyze Go pprof performance profiles.
An MCP (Model Context Protocol) tool that provides stock market data and trading capabilities using the yfinance library, specifically adapted for Claude Desktop.
Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!
A high-performance image compression microservice based on MCP (Modal Context Protocol)
Secure middleware server implementing Model Context Protocol (MCP) over SSE with JWT authentication. Enables standardized communication between AI tools and clients with dynamic tool registration, request logging, and session management. Perfect for building production-ready AI systems requiring secure access patterns.
MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.
MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics
A mcp server that bridges Dune Analytics data to AI agents.
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
This is a simple MCP-Server for command line, and the main idea belongs to hdcola
Search dashboards, investigate incidents and query datasources in your Grafana instance
Interact with your crash reporting and real using monitoring data on your Raygun account
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
