What Are Development Tools & DevOps MCP Servers?

Development Tools and DevOps MCP servers provide AI models with the capability to interact with the software development lifecycle. These servers enable AI to manage source code, execute builds, run tests, and orchestrate deployments, transforming AI into a proactive collaborator in the development process.

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Version Control

Manage code repositories, branches, and pull requests on platforms like Git, GitHub, and GitLab.

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CI/CD Automation

Automate building, testing, and deploying applications with CI/CD pipeline integrations.

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Cloud Management

Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools.

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Terminal & Shell Access

Execute shell commands, manage files, and run scripts in a secure environment.

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Monitoring & Debugging

Integrate with error tracking and performance monitoring platforms to ensure application health.

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IDE & Editor Integration

Connect with IDEs and code editors to provide development assistance and code analysis.

Available Integrations by Type

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Git

Distributed version control system for tracking changes in source code.

Markdown to PDF MCP Server

Markdown to PDF MCP servers enable AI models to convert Markdown documents into PDF files, supporting syntax highlighting, custom styling, and flexible output options.

AI/ML Tools MCP: Seamless Integration for AI Workflows

Integrate leading AI/ML frameworks, model management, and training pipelines with AI/ML Tools MCP. Enable robust model serving, training orchestration, and MLOps workflows.

Docker Integration MCP Servers

Docker MCP servers provide interfaces for LLMs to interact with Docker containers and services. These servers enable AI models to manage containers, handle image operations, and assist with Docker infrastructure tasks.

Development Tools & DevOps MCP Servers