Deployment & DevOps MCP Servers

Config

62

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

Heroku Platform

62

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

Pulumi

62

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

Apache Spark History Server

60

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

Railway

60

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

Portainer

60

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

Vercel Integration

59

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

CircleCI

59

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

FastMCP

58

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

NetBox

56

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

Datadog

55

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

Zabbix

54

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

Vercel

53

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

DataHub

52

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

AI Federation Network

52

Enables federated connections between AI systems and various data sources through a standardized architecture.

OpenTofu

52

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

Railway

52

Manages Railway account resources and automates workflows through a local Model Context Protocol server.

Terminal

52

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

Google Cloud

51

Connects to Google Cloud services to provide context and tools for interacting with resources.

Yamcp

50

Organizes MCP servers in local workspaces and shares them through a single command.