Deployment & DevOps MCP Servers

Splunk Integration

68

Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.

Apache Spark History Server

68

Enables AI agents to analyze job performance, identify bottlenecks, and provide intelligent insights from Apache Spark History Server data.

System Monitor

66

Exposes system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve real-time system information.

Superargs

66

Dynamically configure Model Context Protocol (MCP) server arguments at runtime.

AI Infrastructure Agent

66

Manage AWS infrastructure using natural language commands through an intelligent AI-powered system.

Heroku Platform

64

Enables large language models to interact with and manage Heroku Platform resources.

CircleCI

64

Integrates CircleCI with the Model Context Protocol to enable natural language interactions for development workflows.

Zabbix

63

Integrates Zabbix monitoring capabilities with AI assistants and MCP-compatible tools, enabling comprehensive control over hosts, items, triggers, and problems.

Pulumi

63

Enables programmatic interaction with Pulumi CLI and Cloud API through the Model Context Protocol.

Config

62

Simplifies the installation and configuration of servers for MCP clients through a command-line interface.

FastMCP

61

Establishes a foundational server setup for FastMCP applications with integrated development workflows.

Portainer

61

Exposes Portainer environment data through the Model Context Protocol (MCP), enabling AI assistants to interact with containerized infrastructure.

Railway

60

Enables management of Railway.app infrastructure, including deployments, variables, and services, through natural language using Model Context Protocol.

NetBox

60

Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).

Vercel Integration

59

Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.

OpenTofu

57

Enables language model assistants to access and search the OpenTofu Registry for information about providers, modules, resources, and data sources.

Datadog

55

Enables interaction with the Datadog API using the Model Context Protocol for accessing monitoring data, dashboards, metrics, events, logs, and incidents.

Terminal

55

Enables AI models to execute terminal commands on a host machine and retrieve the output.

DataHub

54

Provides a Metadata Change Proposal (MCP) server implementation for data governance.

Vercel

54

Provides full administrative control over Vercel deployments through Cursor's Composer and Codeium's Cascade.