"MCP server for executing CLI commands and managing development servers" matching MCP servers:

An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

The Octri CLI's MCP server. Push OpenAPI specs, build SDKs in ten languages, publish API docs, and triage production SDK errors from your AI assistant.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Read Google Search Console analytics, inspect indexed URLs, and monitor sitemaps from your terminal or AI agent.

This server lets coding agents inspect Bugpacker bug packages locally, exposing console output, failed requests, repro steps, and package files over MCP while keeping all data on the machine.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Enables querying Google Search Console data, Core Web Vitals, and PageSpeed insights from the terminal or via MCP tools.

MCP servers for real-time development monitoring and interactive pair programming.

Shows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.

Exposes Enji Guard access and compact report metadata to local tools via an MCP server.

Enables querying WhaTap monitoring data using MXQL (Metrics Query Language) through Claude Code, providing project management, secure authentication, and natural language to MXQL query translation capabilities.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Zabbix MCP server and CLI in one Go binary. 15 task-shaped tools: current problems, host investigation, why an alert did or did not arrive, metrics, maintenance. Zabbix 6.4+.

24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.

An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.

MCP server that integrates with VictoriaMetrics vmanomaly API to enable AI-assisted anomaly detection, model management, and configuration generation.

Retrieves captured bug context and evidence for coding agents, enabling progressive disclosure of sessions, manifests, and window correlations to diagnose and fix issues.

Bridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.