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.

Accessibility Scanner MCP Server

Accessibility Scanner MCP servers enable AI models to perform WCAG compliance checks, capture annotated screenshots, and generate detailed accessibility reports.

Perplexity AI MCP Server: Real-time Search & Reasoning for AI

Explore Perplexity AI MCP Server for real-time web search, advanced reasoning, and comprehensive research. Empower your AI with up-to-date information and detailed answers.

Knowledge Graph Memory MCP: AI Persistent Memory & Entity Mgmt

Knowledge Graph Memory MCP servers empower AI with persistent memory, entity management, and relation tracking through local knowledge graph interaction.

Development Tools & DevOps MCP Servers