{"id":74156,"date":"2025-07-17T21:00:51","date_gmt":"2025-07-17T13:00:51","guid":{"rendered":"https:\/\/www.hongkiat.com\/blog\/?p=74156"},"modified":"2025-07-14T20:47:31","modified_gmt":"2025-07-14T12:47:31","slug":"mcp-guide-ai-tool-integration","status":"publish","type":"post","link":"https:\/\/www.hongkiat.com\/blog\/mcp-guide-ai-tool-integration\/","title":{"rendered":"How Model Context Protocol Supercharges Your AI Workflow"},"content":{"rendered":"<p>The <a href=\"https:\/\/modelcontextprotocol.io\/introduction\" target=\"_blank\" rel=\"noopener noreferrer\">Model Context Protocol (MCP)<\/a> is an open standard. It acts like a universal connector for AI applications that will allow them to communicate with external data sources or other tools. So instead of building custom integrations for each of these data sources or tools, MCP provides a standardized way for AI models to access the information they need to provide better and more relevant responses.<\/p>\n<p>Before we dive into how to use MCP in your workflows, let\u2019s take a closer look at the architecture behind it.<\/p>\n<div class=\"toc\" id=\"toc\">\n<h2>In this article<\/h2>\n<ul>\n<li><a href=\"#mcp-architecture\">MCP Architecture<\/a>\n<ul>\n<li><a href=\"#clients\">Clients<\/a><\/li>\n<li><a href=\"#servers\">Servers<\/a><\/li>\n<li><a href=\"#service-providers\">Service providers<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#using-mcp\">Using MCP<\/a>\n<ul>\n<li><a href=\"#time-server\">Time server<\/a><\/li>\n<li><a href=\"#use-browser\">Use browser<\/a><\/li>\n<li><a href=\"#create-a-github-repository\">Create a Github repository<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#wrapping-up\">Wrapping up<\/a><\/li>\n<\/ul>\n<p>        <button class=\"expand-button\">\n            <i class=\"fas fa-chevron-down\"><\/i>\n        <\/button>\n    <\/p><\/div>\n<hr>\n<h2 id=\"mcp-architecture\">MCP Architecture<\/h2>\n<p>MCP is built upon a client-server model that involves: Clients, Servers and Service providers.<\/p>\n<p>    <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-architecture.jpg\" alt=\"MCP architecture diagram showing components\" width=\"1000\" height=\"600\"><\/p>\n<h3 id=\"clients\">Clients<\/h3>\n<p><strong>The MCP clients<\/strong> are the AI applications themselves, such as <a href=\"https:\/\/www.hongkiat.com\/blog\/chatgpt-free-similar-tools\/\">chatbots<\/a>, <a href=\"https:\/\/www.hongkiat.com\/blog\/best-ai-powered-code-editors\/\">code editors<\/a>, or IDEs, that need to access external data or tools. These clients integrate with the MCP protocol to initiate connections with MCP servers and request specific information or actions.<\/p>\n<p>Today, there are a number of clients available that can run MCP, such as code editors like <a href=\"https:\/\/code.visualstudio.com\" target=\"_blank\" rel=\"noopener noreferrer\">Visual Studio Code<\/a>, <a href=\"https:\/\/www.cursor.com\" target=\"_blank\" rel=\"noopener noreferrer\">Cursor<\/a>, an extension like <a href=\"https:\/\/cline.bot\/mcp-marketplace\" target=\"_blank\" rel=\"noopener noreferrer\">Cline<\/a>, or Desktop app like <a href=\"https:\/\/claude.ai\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Claude<\/a>.<\/p>\n<h3 id=\"servers\">Servers<\/h3>\n<p><strong>The MCP servers<\/strong> act as intermediaries or adapters that translate the standardized MCP requests from the client into specific commands or API calls required by the service provider, and then return the results to the client in a standardized MCP format.<\/p>\n<p>There are already a handful of MCP servers we can use today. Some services and tools have provided their official MCP servers, such as <a href=\"https:\/\/github.com\/microsoft\/playwright-mcp\" target=\"_blank\" rel=\"noopener noreferrer\">Playwright<\/a> to perform browser automation, <a href=\"https:\/\/github.com\/github\/github-mcp-server\" target=\"_blank\" rel=\"noopener noreferrer\">Github<\/a> to interact with your remote repositories, and you can find many <a href=\"https:\/\/github.com\/modelcontextprotocol\/servers\/tree\/main\" target=\"_blank\" rel=\"noopener noreferrer\">more in this repository<\/a>.<\/p>\n<h3 id=\"service-providers\">Service providers<\/h3>\n<p>As mentioned, MCP server is designed to connect to one or more underlying <strong>service providers<\/strong>, which are the actual platforms or systems that hold the data or offer the tools that the AI needs. For example, it could be an external application like Google Drive, Slack, GitHub, and even PayPal.<\/p>\n<p>A service provider could also be an internal system like your computer file system, the local Git repository, databases like SQLite, PostgreSQL, etc.<\/p>\n<hr>\n<h2 id=\"using-mcp\">Using MCP<\/h2>\n<p>We will need to select a client to use MCP. In this article, we will be using the <a href=\"https:\/\/claude.ai\/download\" target=\"_blank\" rel=\"noopener noreferrer\">Claude desktop app<\/a>.<\/p>\n<p>We will add all server configuration within the app from the <strong>Settings\u2026 > Developers > Edit Config<\/strong> menu. This will open the JSON file, <code>claude_desktop_config.json<\/code> where we can add the server configuration.<\/p>\n<h3 id=\"time-server\">Time server<\/h3>\n<p>Let\u2019s start with something simple like getting the current time.<\/p>\n<p>We will be using the <a href=\"https:\/\/github.com\/modelcontextprotocol\/servers\/tree\/main\/src\/time\" target=\"_blank\" rel=\"noopener noreferrer\">Time server<\/a>. It\u2019s a simple implementation of the MCP protocol that provides us with the current time as well as time conversion capabilities.<\/p>\n<p>To use this server, add the following in the Claude config file:<\/p>\n<pre>\r\n{\r\n    \"mcpServers\": {\r\n        \"time\": {\r\n            \"command\": \"uvx\",\r\n            \"args\": [\"mcp-server-time\", \"--local-timezone=Asia\/Singapore\"]\r\n        }\r\n    }\r\n}\r\n<\/pre>\n<p>After you\u2019ve restarted the app, you should see additional information that shows you the tools from the MCP server.<\/p>\n<figure>\n        <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-tools-loaded.jpg\" alt=\"MCP tools interface showing options\" width=\"1000\" height=\"600\">\n    <\/figure>\n<p>Now, you can ask Claude, such as <q><strong>What\u2019s the current time?<\/strong><\/q> and it will return the current time in the local timezone specified.<\/p>\n<figure>\n        <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-server-time-current.jpg\" alt=\"Claude showing current time response\" width=\"1000\" height=\"600\">\n    <\/figure>\n<p>Claude can also do time conversion. For example, you can ask: <q><strong>What time is it in New York?<\/strong><\/q> and it will return the time in New York.<\/p>\n<figure>\n        <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-server-time-current-new-york.jpg\" alt=\"Time conversion to New York\" width=\"1000\" height=\"600\">\n    <\/figure>\n<h3 id=\"use-browser\">Use browser<\/h3>\n<p>Let\u2019s try something a little more interesting.<\/p>\n<p>We will now be using the Playwright MCP server that allows us to interact with the browser such as opening a new tab, navigating to a URL, taking screenshots, and even running JavaScript code.<\/p>\n<p>To use this server, we will need to set up the <a href=\"https:\/\/github.com\/microsoft\/playwright-mcp\" target=\"_blank\" rel=\"noopener noreferrer\">server configuration<\/a>, as follows:<\/p>\n<pre>\r\n{\r\n    \"mcpServers\": {\r\n        \"playwright\": {\r\n            \"command\": \"npx\",\r\n            \"args\": [\"@playwright\/mcp@latest\"]\r\n        }\r\n    }\r\n}\r\n<\/pre>\n<p>Now, we can ask Claude with a prompt that will open a new tab in the browser and navigate to a URL. For example, you can ask: <q><strong>Grab the title of this post https:\/\/www.hongkiat.com\/blog\/epson-mac-communication-error-fix\/<\/strong><\/q>.<\/p>\n<p>And sure enough, it can give us the post title correctly.<\/p>\n<figure>\n        <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-server-playwright-title.jpg\" alt=\"Claude retrieving webpage title\" width=\"1000\" height=\"760\">\n    <\/figure>\n<p>The Playwright MCP server is also capable of taking screenshots. You can ask Claude to take a screenshot of the page by using the command <q><strong>Take a screenshot of this post<\/strong><\/q>.<\/p>\n<figure>\n        <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-server-playwright-screenshot.jpg\" alt=\"Webpage screenshot taken by Claude\" width=\"1000\" height=\"760\">\n    <\/figure>\n<p>You can also further customize the server configuration by adding the <code>--browser<\/code> argument to specify which browser to use. For example, you can use <code>--browser=firefox<\/code> to use Firefox instead of the default <a href=\"https:\/\/www.chromium.org\/getting-involved\/download-chromium\/\" target=\"_blank\" rel=\"noopener noreferrer\">Chromium<\/a>.<\/p>\n<h3 id=\"create-a-github-repository\">Create a Github repository<\/h3>\n<p>Another example is to manage your Github repositories. To do this, you need to set up <a href=\"https:\/\/github.com\/github\/github-mcp-server\" target=\"_blank\" rel=\"noopener noreferrer\">the Github MCP server configuration<\/a>, as follows:<\/p>\n<pre>\r\n{\r\n    \"mcpServers\": {\r\n        \"github\": {\r\n            \"command\": \"docker\",\r\n            \"args\": [\r\n                \"run\",\r\n                \"-i\",\r\n                \"--rm\",\r\n                \"-e\",\r\n                \"GITHUB_PAT\",\r\n                \"ghcr.io\/github\/github-mcp-server\"\r\n            ],\r\n            \"env\": {\r\n                \"GITHUB_PAT\": \"&lt;token&gt;\"\r\n            }\r\n        }\r\n    }\r\n}\r\n<\/pre>\n<p>This server requires a Github Personal Access token. You can generate one from your account <a href=\"GITHUB_PAT\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Settings<\/a>. Create one and assign the token with the appropriate permissions.<\/p>\n<p>For example, if you need to retrieve the list of repositories, you should add the <code>public_repo<\/code> permission.<\/p>\n<p>In addition to that, you will need the <code>docker<\/code> command. You can get the command by installing the <a href=\"https:\/\/www.docker.com\/products\/docker-desktop\/\" target=\"_blank\" rel=\"noopener noreferrer\">Docker Desktop<\/a> application, or if you\u2019re on macOS, you can use an alternative, <a href=\"https:\/\/orbstack.dev\" target=\"_blank\" rel=\"noopener noreferrer\">OrbStack<\/a>.<\/p>\n<p>After you\u2019ve restarted the app, you can now ask Claude, for example, to <q><strong>count my public repositories<\/strong><\/q>.<\/p>\n<figure>\n        <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/assets.hongkiat.com\/uploads\/mcp-guide-ai-tool-integration\/mcp-server-github-count-public-repo.jpg\" alt=\"Claude counting Github repositories\" width=\"1000\" height=\"600\">\n    <\/figure>\n<p>You can try prompts like: <q><strong>List all my public repositories with open issues<\/strong><\/q>, <q><strong>list all my public repositories with pull requests more than 2<\/strong><\/q>, etc.<\/p>\n<hr>\n<h2 id=\"wrapping-up\">Wrapping up<\/h2>\n<p>In this article, we looked at how the Model Context Protocol (MCP) helps AI tools connect to external services.<\/p>\n<p>Although we\u2019ve only used it with Claude, the MCP is now built into many popular clients like Visual Studio Code, Cursor, and Cline. This means you can use it with your favorite tools to make them even more powerful.<\/p>\n<p>If you haven\u2019t tried it yet, I think it\u2019s worth exploring how MCP can fit into your own setup and help you work more efficiently.<\/p>","protected":false},"excerpt":{"rendered":"<p>The Model Context Protocol (MCP) is an open standard. It acts like a universal connector for AI applications that will allow them to communicate with external data sources or other tools. So instead of building custom integrations for each of these data sources or tools, MCP provides a standardized way for AI models to access&hellip;<\/p>\n","protected":false},"author":113,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3398],"tags":[3545],"topic":[],"class_list":["entry-content","is-maxi"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How Model Context Protocol Supercharges Your AI Workflow - Hongkiat<\/title>\n<meta name=\"description\" content=\"The Model Context Protocol (MCP) is an open standard. It acts like a universal connector for AI applications that will allow them to communicate with\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hongkiat.com\/blog\/mcp-guide-ai-tool-integration\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Model Context Protocol Supercharges Your AI Workflow\" \/>\n<meta property=\"og:description\" content=\"The Model Context Protocol (MCP) is an open standard. 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