Deployment & DevOps MCPサーバー

Databricks

43

Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.

Metoro

43

Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.

Loki

43

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

Get Gather

42

Provides a containerized service for Model Context Protocol clients to interact with and act upon user data.

Airflow API

41

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

Remote Functions

41

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

MySQL

41

Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.

Esxi

41

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

Hetzner Cloud

41

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

Netbird

41

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

Bitbucket Server

40

Enables interaction with the Bitbucket Server API for pull request management via the Model Context Protocol (MCP).

Kubernetes

40

Provides safe, read-only access to Kubernetes cluster resources for debugging and inspection via a Model Context Protocol server.

Github Actions

40

Enables AI assistants to manage and operate GitHub Actions workflows.

Alibaba Cloud Observability

40

Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.

RAG App on AWS

39

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

Ops

39

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

Databricks

39

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

MCPShell

39

Safely executes command-line tools through the Model Context Protocol (MCP).

Podman

38

Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.

Konnect

38

Enables AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics through a Model Context Protocol (MCP) server.