Discover and integrate analytics MCP servers to extend Claude's capabilities
4 analytics MCP Servers Available
A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).Query and analyze your Axiom logs, traces, and all other event data in natural language,
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
Interact with Tinybird serverless ClickHouse platform
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.
