"A guide to Integrated Development Environments" matching MCP servers:

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

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Provides tools for AI assistants to manage and diagnose MWAA Airflow environments, EMR Serverless jobs, S3 files, and Confluence documentation. It features automated pipeline failure diagnosis and comprehensive log retrieval across these integrated platforms.

A read-only MCP server for Rollbar investigations, enabling listing configured environments and making authenticated GET requests to the Rollbar API.

Enables querying OpenTelemetry logs stored in OpenSearch across development and production environments. Provides tools for searching logs by various criteria including free-text Lucene queries, trace IDs, service names, error levels, and specific fields.

An open-source MCP server for PostgreSQL that provides database health analysis, index tuning, query plan optimization, and safe SQL execution, suitable for both development and production environments.

MCP Server for notify to telegram / weixin

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.

Enables AI assistants to monitor and analyze Proxmox VE virtualization environments via the MCP protocol.

An MCP server for the Liongard platform, providing tools to manage inspectors, systems, metrics, alerts, and environments through Liongard's API.

Enables AI agents to manage Plesk hosting environments through a set of standardized tools for security, health monitoring, DNS, email, backups, and service management.

Enables an AI agent to manage local development environments over MCP by starting, stopping, and restarting applications and processes, reading logs with cursors, and inspecting or freeing listening ports. Exposes a fixed set of id- and port-based tools, so the agent can operate registered processes without running arbitrary commands.

Effortlessly orchestrate and oversee Docker environments from anywhere, using natural, conversational commands.

Enables LLMs and AI assistants to interact with Tilt development environments, providing tools to list resources, fetch logs, and monitor status.

A read-only MCP server that exposes Hatchet client / REST observability APIs to coding agents across multiple environments from one process.

A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.

A FastAPI-based server that enables executing SQL queries, managing database connections, and retrieving analytics reports through MCP-integrated endpoints. It allows users to interact with database schemas, performance metrics, and access logs using structured queries.