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Metoro

Safety: 65/100

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Metoro MCP Server exposes Kubernetes observability data from the Metoro platform to LLMs, enabling AI-driven insights into cluster performance and health.

MCP ServersDevelopmentData & DatabasesAI & LLMCloud & InfrastructureSearch & WebProductivitySocial MediaUtilitiesFreemium

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Overview

Metoro MCP Server exposes Kubernetes observability data from the Metoro platform to LLMs, enabling AI-driven insights into cluster performance and health.

The Metoro MCP Server is relatively safe for read-only access to cluster data. However, the risk of information disclosure and prompt injection should be carefully considered, especially in sensitive environments. Ensure the Metoro auth token is securely managed.

Performance depends on the Metoro API's responsiveness and the size of the Kubernetes cluster. Large clusters may result in slower response times.

Cost is primarily associated with Metoro platform usage and API call volume. Consider Metoro's pricing model when using this MCP server in production.

CloudGo46 starsMITReleased 1/16/2026CI/CD

Connections & Capabilities

Connects To

GitHubKubernetes

Capabilities

Read

Client Compatibility

Claude Desktop

full

Cursor

untested

Windsurf

untested

VS Code (Copilot)

untested

Quickstart

Install

brew install go

Claude Desktop Config

{
  "mcpServers": {
    "metoro-mcp-server": {
      "command": "<your path to Metoro MCP server go executable>/metoro-mcp-server",
      "args": [],
      "env": {
          "METORO_AUTH_TOKEN" : "<your auth token>",
          "METORO_API_URL": "https://us-east.metoro.io"
       }
    }
  }
}

Tools (4)

safe

get_metrics

Retrieves performance metrics for Kubernetes resources.

Read-only operation; retrieves existing data.

safe

list_pods

Lists the pods running in a Kubernetes cluster.

Read-only operation; lists existing resources.

safe

get_services

Retrieves information about services in the Kubernetes cluster.

Read-only operation; retrieves existing data.

safe

get_deployments

Retrieves information about deployments in the Kubernetes cluster.

Read-only operation; retrieves existing data.

Security

Auth Method

Token

Data Locality

cloud

Known Risks

!Compromised Metoro auth token could lead to unauthorized data access.
!Potential for prompt injection attacks if LLM is not properly secured.
!Exposure of sensitive Kubernetes cluster information to external LLMs.
!Dependence on the security of the Metoro platform and its APIs.

Safety Score

moderate risk

Positive

+Read-only access to Kubernetes observability data.
+Relies on Metoro's RBAC for authorization.
+No direct modification of Kubernetes resources.
+Uses an API token for authentication.

Risks

-Potential for information disclosure if the API token is compromised.
-Exposure of internal cluster data to external LLMs.
-Dependence on the security of the Metoro platform.
-No input validation or sanitization mentioned, increasing risk of prompt injection.

Use Cases

Infrastructure Monitoring

-Diagnosing performance bottlenecks in Kubernetes clusters.
-Identifying unhealthy pods or services.
-Tracking resource utilization across different namespaces.

Root Cause Analysis

-Correlating metrics with events to identify root causes of issues.
-Analyzing historical data to identify trends and patterns.
-Comparing performance across different deployments.

Capacity Planning

-Forecasting future resource needs based on historical data.
-Optimizing resource allocation to improve efficiency.
-Identifying potential capacity constraints.

Who Is This For?

Best For

Kubernetes administrators
DevOps engineers
SREs
Developers troubleshooting microservices

Not Ideal For

Environments with strict data privacy requirements.
Users without a Metoro account.
Use cases requiring write access to Kubernetes resources.

Autonomy & Execution

Default ModeRead-only

Sandboxed

The Metoro MCP Server is designed for read-only access to Kubernetes observability data, limiting the risk of unintended modifications.

StatelessYes

Retry LogicNot documented

ConcurrencyNot documented

Production Tip

Monitor the Metoro API usage and error rates to ensure the MCP server is functioning correctly in production.

FAQ

What is the Model Context Protocol (MCP)?

MCP is an open protocol that enables seamless integration between LLM applications and external data sources and tools.

What is Metoro?

Metoro is an observability platform designed for microservices running in Kubernetes, using eBPF based instrumentation.

How do I get a Metoro auth token?

You can copy your auth token from your Metoro account in Settings -> Users Settings.

Can I use the Metoro MCP Server without a Metoro account?

Yes, you can use the Live Demo Cluster with the included demo token.

What kind of data can I access with the Metoro MCP Server?

You can access Kubernetes observability data, such as metrics, pod lists, service information, and deployment details.

Is it safe to expose my Kubernetes cluster data to an LLM?

It depends on your security requirements. Consider the risk of information disclosure and ensure your API token is securely managed.

Does the Metoro MCP Server support write operations?

No, the Metoro MCP Server is designed for read-only access to Kubernetes observability data.

Key Features

Development Data & Databases AI & LLM Cloud & Infrastructure Search & Web Productivity Social Media Utilities

MCP Server Integration - Standardizes communication between Metoro observability data and AI models via the Model Context Protocol.

Kubernetes Observability Access - Provides LLMs with direct, read-only access to cluster health and performance telemetry.

Natural Language Querying - Enables users to ask complex questions about infrastructure state using plain English prompts.

Automated Insights - Facilitates AI-generated explanations for cluster performance trends and anomaly detection.

Use Cases & Problems Solved

Use Cases

•Use when you need to query live Kubernetes cluster health metrics directly through an LLM interface to troubleshoot performance degradation.
•Perfect for DevOps engineers who want to use natural language to identify which specific pods or containers are consuming excessive CPU or memory.
•Ideal if you need to quickly correlate application performance data from Metoro with infrastructure-level events during an incident response workflow.
•Great for automating the retrieval of Kubernetes resource status reports by having an AI agent synthesize complex platform data into human-readable summaries.
•Use when performing root cause analysis by asking the AI to cross-reference recent deployment logs with real-time observability metrics provided by the Metoro platform.
•Perfect for developers who need to verify the impact of recent configuration changes on cluster stability without manually navigating dashboards.
•Ideal if you are building an AI-assisted SRE pipeline that requires programmatic access to Kubernetes observability data via the Model Context Protocol.

Problems Solved

✓Eliminates the need for manual navigation through complex Kubernetes observability dashboards to find basic cluster health status.
✓Reduces the time spent on context switching between terminal-based kubectl commands and monitoring platform interfaces during outages.
✓Removes the barrier of steep learning curves for junior developers trying to interpret raw Kubernetes performance metrics.
✓Solves the challenge of manually synthesizing disparate observability data points into actionable insights for incident reports.

Who It's For

Site Reliability Engineers (SREs)DevOps EngineersKubernetes Platform AdministratorsCloud Infrastructure EngineersBackend Developers working in containerized environments

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

Metoro

Overview

Connections & Capabilities

Connects To

Capabilities

Client Compatibility

Quickstart

Install

Claude Desktop Config

Tools (4)

Security

Safety Score

Positive

Risks

Use Cases

Infrastructure Monitoring

Root Cause Analysis

Capacity Planning

Who Is This For?

Best For

Not Ideal For

Autonomy & Execution

FAQ

What is the Model Context Protocol (MCP)?

What is Metoro?

How do I get a Metoro auth token?

Can I use the Metoro MCP Server without a Metoro account?

What kind of data can I access with the Metoro MCP Server?

Is it safe to expose my Kubernetes cluster data to an LLM?

Does the Metoro MCP Server support write operations?

Key Features

Use Cases & Problems Solved

Use Cases

Problems Solved

Who It's For

Metrics

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