Metoro Kubernetes Observability

GitHub Repo
42
Provider
Metoro
Classification
OFFICIAL
Downloads
2.7k(+64 this week)
Released On
Dec 8, 2024

About

Unlock the potential of AI assistants by integrating an MCP server designed to analyze Kubernetes telemetry data gathered through eBPF instrumentation. Enhance observability and streamline optimization processes effortlessly.


Explore Similar MCP Servers

Community

MAGG

Experience a cutting-edge Meta-MCP server that revolutionizes the management of multiple MCP servers. Utilizing advanced intelligent discovery mechanisms from platforms such as Glama.ai and GitHub, this tool facilitates seamless server installation, configuration, and centralized tool accessibility. Benefit from automatic conflict resolution for smooth operations.

Community

Prometheus

Enhance your AI systems with seamless integration to Prometheus monitoring infrastructure. Streamline the execution of PromQL queries, uncover a wide array of metrics, and access target metadata effortlessly. Empower your operations with real-time analytics and top-notch performance monitoring capabilities.

Community

MetaMCP

Manage various AI services centrally with a focus on secure API key management and cohesive access, enhancing seamless cross-platform interactions.

Community

MCP Advisor

Find and explore a variety of MCP services effortlessly through a discovery and recommendation platform. Utilize natural language queries to discover and comprehend the range of MCP services offered, with support for diverse search backends that enable server exploration based on semantic similarity.

Community

MCPFinder

Empower virtual assistants to explore and incorporate fresh functionalities through a suite of tools that facilitate searching, accessing information, and setting up MCP servers across different software platforms.

Community

1MCP Agent

Streamlining multiple MCP servers into a unified interface enhances efficiency by minimizing system resource consumption and streamlining configuration management through dynamic reloading and tag-driven filtering features.

Community

OpenAPI Proxy

Convert OpenAPI definitions into Model Context Protocol (MCP) utilities, facilitating seamless communication between AI helpers and diverse REST APIs without the need for individualized setups.

Community

MCP Toolkit

Empower AI virtual assistants by enabling seamless access to diverse local and network resources using dedicated tools for managing files, connecting to databases, utilizing GitHub APIs, extracting web content, and executing commands while maintaining adjustable security parameters.

Community

PulseMCP

Enhance your ecosystem analysis and service recommendations by seamlessly connecting with PulseMCP. Access valuable MCP server and integration data with ease, optimizing your insights for better decision-making.

Community

Meta MCP Proxy

Consolidating various MCP servers into a unified gateway that features integrated search functions. This allows effortless discovery and execution of tools from diverse specialized services using a single interface.

Community

Kubernetes Monitoring

Gain detailed insights into Kubernetes clusters through a specialized interface, offering valuable information on namespaces, pods, nodes, deployments, services, and events. Ideal for enhancing monitoring and troubleshooting capabilities.

Community

Kubernetes

Enhance your Kubernetes clusters with seamless control over pods, deployments, and services using advanced FastMCP solutions. Streamline your DevOps tasks without toggling between chat interfaces and CLI commands.

Community

Kubernetes Eye

Discover a cutting-edge tool for managing Kubernetes environments seamlessly. This innovative solution seamlessly connects to clusters, enabling effortless listing, analysis, and manipulation of pods. Experience the convenience of executing container commands and retrieving logs effortlessly, all via intuitive conversation interfaces.

Community

Kubernetes

Enhances connectivity between Kubernetes environments and artificial intelligence platforms, enabling streamlined oversight, resolution of issues, and efficient resource administration for elements such as pods, deployments, and services. Direct interaction with kubectl is not necessary.