MCP in Action: Seamless AI Integration for Automation and Beyond.pdf
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Unlock the power of seamless AI integration with Model Context Protocol (MCP), the latest open-source standard designed by Anthropic! In this session, we break down how MCP is transforming the way Large Language Models (LLMs) like Claude and popular developer tools connect with real-world data, business systems, and automation platforms. We’ll walk you through the basics of MCP, which includes architecture, capabilities, and how it streamlines the often-complex task of integrating LLMs with files, APIs, databases, and external tools. Discover how the MCP architecture enables a flexible client-server approach, making it easier than ever for applications such as Claude Desktop, VS Code, and others to interact with your digital ecosystem. Whether you’re a developer, QA engineer, tech leader, or just curious about the future of AI automation, this video covers concepts and live walkthroughs to help you get started. We’ll explore how MCP empowers automated workflows, from test automation to advanced business integration, giving your AI tools the ability to act, analyze data, and connect across platforms like GitHub, Google Drive, Slack, and Playwright.
MCP in Action: Seamless AI Integration for Automation and Beyond.pdf
- 1. A PAGE TALKS ABOUT P R O G R E S S P O W E R S P O S S I B I L I T Y https://www.rewireadaptive.com https://www.youtube.com/@rewirebyautomation Kiran Kumar Edupuganti | https://www.rewireadaptive.com | https://www.youtube.com/@rewirebyautomation
- 2. Tools , Solutions & Technologies Empowering The Workforce Management/ Strategies Trends My Workouts speaks My Experience speaks My Thoughts speaks My Analysis speaks @reWireByAutomation Channel Objectives /@reWireByAutomation | rewirechannel@gmail.com
- 3. A PAGE TALKS ABOUT c o l u m n T R E N D S /@reWireByAutomation | rewirechannel@gmail.com
- 4. MCP in Action: Seamless AI Integration for Automation and Beyond { MCP Servers Configuration }
- 5. { Automation & Beyond } MCP Demystified: Configuration & Application
- 6. MCP in Action: Seamless AI Integration for Automation and Beyond MCP Demystified: Configuration & Application
- 7. MODEL CONTEXT PROTOCOL IN ACTION P R O G R A M MCP OVERVIEW MCP ARCHITECTURE MCP COMPONENTS TEST AUTOMATION APPLICABILITY
- 8. MCP OVERVIEW BEFORE MCP AFTER MCP ▪ Connecting LLMs to external sources requires custom implementations, which can be costly and time-consuming. ▪ Each provider (e.g., Anthropic, Google, OpenAI) employs proprietary mechanisms to connect to various external sources, tools, and APIs. ▪ There is no universal mechanism to connect external sources, APIs, and tools with LLMs. ▪ MCP (Model Context Protocol), designed and developed by Anthropic, is now officially open source for the community. ▪ It offers flexibility by enabling LLM-hosted IDEs to connect with MCP servers through clients. ▪ Clients are components that reside within LLM-hosted applications such as Claude Desktop, VSCode, and others. ▪ MCP has expanded its capabilities by enabling connections between LLMs and external applications such as GitHub, Google Drive, Slack, as well as open- source automation tools like Playwright and various external data sources. ▪ Anthropic has provided Python, TypeScript, C# , Kotlin and Java SDKs, allowing anyone to develop MCP servers and necessary components for any business case. ARCHITECTURE VIEW LLM Files Database APIs Custom Implementation Files Database APIs MCP SERVER-1 MCP SERVER-2 MCP SERVER-3 HOST MCP Client (Claude , VSCode, IDEs, AI Tools) MCP Protocol MCP Protocol Local / Remote Local / Services Remote
- 9. MCP ARCHITECTURE Claude Desktop , VSCode , Postman and AI Tools etc Python , Node , Java , Kotlin and C# Architecture Ensures ▪ Initialization and message exchange ▪ Termination and error handling ▪ Robust message handling ▪ Security considerations ▪ Debugging and monitoring capabilities Architecture Overview ▪ Hosts: LLM applications (such as Claude Desktop or IDEs) that initiate connections. ▪ Clients: Maintain one-to-one connections with servers and operate within the host application. ▪ Servers: Provide context, tools, and prompts to clients. MCP CLIENT MCP CLIENT HOST Transport Layer Transport Layer MCP SERVER MCP SERVER SERVER PROCESS SERVER PROCESS Follows a Client- server architecture
- 10. MCP COMPONENTS ▪ LLM applications like Claude Desktop enabled with the MCP client by default. ▪ Server details must be configured within LLM applications such as Claude Desktop, VSCode, Postman, IDEs, and other AI tools. ▪ As MCP gains adoption and rapidly evolves, its design and architecture facilitate easy configuration using a JSON file format. ▪ The JSON file contains details of target Server details (e.g., Playwright Automation, Files, GitHub, Slack, etc.). ▪ The MCP server should include tools required for the target component developed for MCP (e.g., for Playwright, appropriate methods must be implemented to perform Playwright web operations). These tools are exposed to LLM and invoked by Clients through Server. ▪ Resources such as files, APIs, and databases should be integrated with the server, allowing the LLM to retrieve data as needed for its operations. ▪ Prompts, which are pre-written templates, help users accomplish specific tasks or operations efficiently. MCP SERVER CAPABILITIES Tools Resources Prompts MCP SERVER CONFIGURATION Server name Command Server details
- 11. MCP INTEGRATIONS Prominent Applications That Support MCP Integrations
- 12. TEST AUTOMATION APPLICABILITY O V E R V I E W GENERAL | BUSINESS ▪ LLMs can extend functionality by integrating with email systems. ▪ LLMs can connect to local or cloud files to perform data analysis or execute defined business processes. ▪ LLMs can integrate with communication platforms such as Slack and Teams. ▪ LLMs can connect with version management platforms like GitHub and GitLab to support file versioning workflows. ▪ The opportunities are infinite; overall, this extends the capabilities of LLMs to meet diverse business needs. ▪ Plays a significant role within Agentic frameworks by connecting a wide range of agents and platforms in a seamless workflow. Significance: TEST AUTOMATION ▪ By default, Claude and VSCode do not have the capability to interact with web applications. ▪ A Playwright MCP server can be developed to enable Claude to perform actions on target web applications. ▪ Claude interprets the user prompt, analyzes it, and selects the relevant tools to use. ▪ The client executes these tools (such as launching the browser or interacting with web elements) via the MCP server. ▪ Results are sent back to Claude, which formulates a response and displays it to the user. This approach is similar to how commercial automation assistants such as Testim, testRigor, or KaneAI Test Agent from LambdaTest perform actions on web applications.
- 13. VSCode: Playwright MCP Server Configuration
- 14. SCREENCAST AN EXPERIENCE WALKTHROUGH / @rewirebyautomation
- 15. 15 FINAL INSIGHTS MCP IN ACTION : SEAMLESS AI INTEGRATION
- 16. I hereby conclude the ‘MCP in Action: Seamless AI Integration for Automation and Beyond’ narrative. The key Takeaway from this article is the practical approach to configuring the MCP server and applications for both automation , business use cases and general purposes. F I N A L I N S I G H T S Thank You! @reWireByAutomation , Signing Off This article aims to simplify MCP orchestration and the integration of LLMs into Open-source automation, enabling seamless connectivity with external stacks for Test Automation and general-purpose workflow automation.
- 17. 17 RESOURCES Platform Link Personal Blog Refer to Link LinkedIn Refer to Link YouTube Refer to Link Playwright-mcp configuration Guide Refer to link