"Fetching Kubernetes logs for a given pod or deployment" matching MCP servers:

Least-privilege compiler and MCP gateway for AI agents: run your agent in record-only mode, compile the smallest policy it actually needs from its real tool calls, enforce it at the gateway (deny > approve > allow), and keep a SHA-256 hash-chained audit of every call that verifies offline.

Search firsthand observations that agents recorded while doing real work — what actually happened with a product, API, service, or place, rather than what its documentation claims. Agents can also write back what they observed.

Enables SSH-based deployment operations such as git pull, command execution, script upload/run, and SSH config management.

Enables analyzing Salesforce deployment logs, validating metadata manifests, assessing permission risks, and generating remediation plans through deterministic, local-only rules.

Enables MCP clients to inspect and operate Kubernetes clusters across multiple contexts, with read-only/read-write/admin access modes and security flags controlling namespaces, contexts, deletes, applies, and exec.

Manages Kubernetes clusters through kubectl and Helm operations including pod cleanup, node management, and troubleshooting.

Local MCP server that exposes iTerm2 tab/session logs to MCP-capable agents via AppleScript, enabling tools to list open tabs and retrieve terminal scrollback.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

MCP server for viewing Docker container logs on a remote VPS via SSH.

An MCP server for tailing Re.Pack/Rspack dev server logs. Enables AI assistants to query build logs, find errors, and monitor compilation status.

Enables AI agents to analyze ROS2 log files across multiple nodes by merging them into a unified timeline and providing smart query tools, without requiring ROS2 installation.

Provides access to Kubernetes troubleshooting runbooks, enabling search, discovery, and retrieval of guides for common issues like pod crashes, node problems, and network failures.

Enables AI agents to search and analyze SAP Commerce Cloud (CCv2) runtime logs via OpenSearch Dashboards using a session cookie, providing read-only tools for full-text search and error aggregation.

MCP server for querying and analyzing logs from VMware Aria Operations for Logs, enabling log search, incident detection, and vROps correlation.

Enables LLMs to explore and analyze UK Government BEIS inspect_ai evaluation logs directly from tools like Claude Code and Cursor. It provides capabilities to list logs, view evaluation summaries, and inspect conversation histories for specific samples.

Enables AI coding agents to fetch, tail, and clean Salesforce Commerce Cloud log files in real-time, with dynamic workspace resolution for seamless switching between multiple SFCC instances.

Provides deterministic tools and resources for order-to-cash deployment, enabling payment investigation, collection prioritization, and controlled benchmark runs on synthetic ERP data.

Enables diagnosing Kubernetes clusters without creating or changing cluster objects, with tools to inspect health, workloads, events, storage, RBAC, custom resources, logs, and configuration.

Enables AI assistants to manage Docker containers and Kubernetes resources through natural language, supporting operations like container management, image building, and pod/deployment/service management.

An MCP server that gives AI assistants direct access to Kubernetes clusters for pod management and network debugging (DNS, NetworkPolicy, ingress, service mesh) and correlates Dynatrace observability with OpenTelemetry self-monitoring, which automatically ships traces, metrics, and logs to Dynatrace.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, and nodes, create/delete/describe pods, inspect namespaces, and retrieve logs for debugging.

Connects to a Kubernetes cluster through the current kubectl context and enables listing, creating, deleting, and describing pods, services, deployments, nodes, and namespaces, plus retrieving logs for debugging.

Enables connecting to a Kubernetes cluster through kubectl context to list and manage pods, services, deployments, nodes, and namespaces, create or delete pods, describe pods, and retrieve logs for debugging.

Enables connection to a Kubernetes cluster to list and manage pods, services, deployments, nodes, and namespaces, including creating, deleting, describing pods and retrieving logs for debugging.

Enables connecting to a Kubernetes cluster to manage it, including listing pods, services, deployments, nodes, and namespaces, creating and deleting pods, describing pods, and retrieving logs for debugging.

Enables connecting to a Kubernetes cluster to manage resources and troubleshoot workloads with kubectl and Helm operations, including logs, scaling, port forwarding, and non-destructive mode.

TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.

Enables AI agents to manage prompts and sessions via the ai-agent-logs API, with tools for health checks, login, listing/creating prompts, and retrieving sessions.

Enables safe, read-only interaction with Kubernetes clusters, allowing users to list resources and fetch logs without any create/update/delete operations.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.