Deployment & DevOps MCPサーバー

Pyats

41

Enables structured interaction with network devices via STDIO using the JSON-RPC 2.0 protocol.

Github Actions

39

Enables AI assistants to manage and operate GitHub Actions workflows.

Netbird

38

Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).

Airflow API

38

Integrates Apache Airflow API to provide comprehensive tools for cluster management, monitoring, and operations via Model Context Protocol.

Remote Functions

38

Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).

Jenkins

38

Bridges Jenkins with AI language models, enabling secure and contextual interactions.

Nomad Go

37

Connects to Nomad to provide a Model Context Protocol (MCP) server.

Hetzner Cloud

37

Manage Hetzner Cloud resources through structured functions using a Model Context Protocol (MCP) server.

DigitalOcean Integration

37

Manages DigitalOcean resources and performs actions using the DigitalOcean API.

MCPcat

37

Captures user intentions and behavior patterns to provide analytics for server owners.

Databricks

37

Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).

Kubernetes Assistant

36

Enables AI assistants to interact with Kubernetes clusters using natural language.

Honeycomb

36

Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.

Esxi

35

Provides a REST API for managing VMware ESXi/vCenter virtual machines using the Model Control Protocol.

ContextPods

35

Enables AI systems and developers to create, manage, and deploy Model Context Protocol (MCP) servers using natural language.

Loki

34

Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.

Ops

34

Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.

Azure DevOps

33

Enables Cline to interact with Azure DevOps services using the Model Context Protocol (MCP).

Salesforce CLI

33

Exposes Salesforce CLI commands as Model Context Protocol (MCP) tools for use in LLM-powered agents.

RAG App on AWS

33

Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.