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    Provides secure access to containerized build environments for software projects, enabling AI assistants to execute builds, run tests, manage git operations, and inspect build artifacts without requiring local installation of dependencies.
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    MIT
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    Enables AI assistants to set up, run, and manage Ballerina + Salesforce integrations inside a WSO2 Integrator workspace, providing 18 tools for OAuth2 token acquisition, project scaffolding, building, deploying, and stopping the integration service.
    18
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    An MCP server designed for React Native and Expo development that provides specialized tools for project scaffolding, architectural best practices, and troubleshooting. It enables AI assistants to guide users through setup, navigation configuration, and CI/CD processes using modern stacks like NativeWind and Zustand.
    13
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    MCP server that wraps Docker, Caddy, and GitHub Actions operations on a remote VPS, enabling Claude to take read-then-write-with-confirmation infrastructure actions over SSH with a service allowlist and audit-trail-friendly responses.
    8
    MIT
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    A multi-Jenkins server management and automation tool that enables intelligent scenario mapping, multi-server management, and complete CI/CD lifecycle operations through natural language interactions.
    11
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    Enables comprehensive Datadog monitoring capabilities including CI/CD pipeline management, service logs analysis, metrics querying, monitor and SLO management, service definitions retrieval, and team management through Claude and other MCP clients.
    13
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    AI-native control plane for Kubernetes and GitOps. Provides 30+ tools for service deployment, database provisioning, and log management via natural language.
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    MIT
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    Enables interacting with Adios workspaces, previews, builds, logs, and deployments from MCP clients. Hosted service at Adios, no local deployment needed.
    14
    MIT
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    A boilerplate for building FastMCP servers, providing a basic setup for testing, linting, formatting, and publishing to NPM.
    13
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    MIT
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    Provides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.
    Apache 2.0
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    An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.
    11
    Apache 2.0
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    Interact with OneDev for CI/CD spec editing, pull request review, and issue workflow automation etc.
    13
    MIT
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    Enables comprehensive management of Railway infrastructure, including projects, services, variables, and deployments, directly through the Railway GraphQL API. It is designed to work as a remote service over HTTP, allowing seamless integration with cloud-based MCP clients like claude.ai.
    MIT
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    Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest generation, dry-run planning, and service endpoint extraction.
    1
    MIT
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    A production-ready template for building Model Context Protocol servers in Python, featuring example tools, structured logging, and multiple transport protocols.
    Apache 2.0
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    An end-to-end test MCP server built with FastMCP that exposes a REST API as a set of tools for AI agents. It enables LLMs to perform CRUD operations on an upstream API by mapping HTTP methods to MCP tools.