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"Understanding Inference Models" matching MCP servers:

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    An MCP (Model Context Protocol) server that integrates with the ArgoCD API, enabling AI assistants and large language models to manage ArgoCD applications and resources through natural language interactions.
    10
    12
    MIT
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    quality
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    The Model Context Protocol (MCP) Jenkins integration is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.
    33
    140
    MIT
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    MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.
    85
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    MIT
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    Enables AI models to interact programmatically with Dokploy servers to manage projects, applications, and deployment services. It provides 67 specialized tools for direct Dokploy API operations through the Model Context Protocol.
    162
    Apache 2.0
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    MCP server for Bitbucket Cloud that exposes 35 tools covering repositories, pull requests, branching models, and pipelines, enabling AI clients to automate Bitbucket workflows.
    3
    MIT
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    A Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.
    16
    1
    MIT
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    A minimal, extensible MCP server to run dbt models via CLI, HTTP API, or AI interfaces like Claude, with Slack notifications for task completions.
    2
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    maintenance
    Enables AI agents and external systems to programmatically trigger and monitor Jenkins jobs, retrieve build status and logs via MCP standards.
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    maintenance
    Enables multi-stage AI software development orchestration by allowing users to assign different AI models to roles like architect, developer, tester, and reviewer, and execute them via MCP tools or a desktop console.