Discover our curated collection of MCP servers for deployment & devops. Browse 2221servers and find the perfect MCPs for your needs.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Manages and load-balances multiple Tavily API keys to enhance availability and increase request throughput for Tavily services.
Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.
Enables real-time hot module reloading for Python applications, reactively triggering side effects gracefully without full restarts.
Analyzes Go pprof performance profiles to identify performance bottlenecks.
Provides safe, read-only access to Kubernetes cluster resources for debugging and inspection via a Model Context Protocol server.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).
Enables Claude and Gemini CLI to interact with Hummingbot for automated cryptocurrency trading across multiple exchanges.
Authenticates and manages requests between an MCP client and MCP servers, enforcing guardrails and providing caching.
Exposes Buildkite pipeline, build, and job information to tools like Claude Desktop and GitHub Copilot.
Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).
Connects to Nomad to provide a Model Context Protocol (MCP) server.
Simplifies the deployment of Model Context Protocol (MCP) servers by providing a purpose-built CI/CD platform.
Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.
Integrates the Just command runner with AI assistants, enabling discovery, execution, and introspection of Justfile recipes via the Model Context Protocol.
Integrates Apache Airflow API to provide comprehensive tools for cluster management, monitoring, and operations via Model Context Protocol.
Enables LLM models to interact with Apache Kafka through the Model Context Protocol (MCP).
Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).
Enables AI assistants to manage and operate GitHub Actions workflows.
Connects an MCP client, such as Cursor or Claude Desktop, with ZenML MLOps and LLMOps pipelines.
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