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"Creating and Editing PowerPoint Presentations" matching MCP servers:

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    A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.
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    MIT
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    Enables Claude to interact with Infracost for Terraform cost estimation and cloud governance. Supports generating cost breakdowns, comparing configurations, creating tagging policies, setting up cost guardrails, and posting cost comments to PRs.
    16
    2
    MIT
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    MCP server for managing Netlify sites, enabling operations such as creating sites from GitHub repositories, listing, viewing details, and deleting sites.
    4
    MIT
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    Enables comprehensive test management in Zephyr Scale Cloud, including creating and managing test cases, executing tests with step-by-step results, organizing test cycles and plans, and performing advanced JQL searches.
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    MIT
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    Enables integration with Xray Cloud APIs for comprehensive test management including creating and managing test cases, test executions, test plans, and test sets. Supports CI/CD automation and test result tracking through GraphQL APIs.
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    3
    ISC
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    A TypeScript starter template for building Model Context Protocol (MCP) servers with built-in support for tools, testing, and CI/CD pipelines. It provides a complete development environment for creating custom AI assistant integrations for tools like Claude, Copilot, and Cursor.
    1
    112
    MIT
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    Enables AI assistants to manage Dokploy deployments, including creating and deploying applications, managing databases, configuring domains with SSL, and monitoring application status through a standardized interface.
    25
    MIT
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    A boilerplate for building FastMCP servers, providing a basic setup for testing, linting, formatting, and publishing to NPM.
    13
    1
    MIT
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    Agentic cloud platform with 45+ MCP tools. Deploy any containerized stack, debug live pods (shell, file editing, DB queries), manage custom domains & TLS, push to built-in container registry, scale pods, and manage GPU workloads. The infrastructure layer where AI agents ship software to production.
    8
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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