Merge branch 'main' into patch-1

README.md

@@ -49,6 +49,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://resources.audiense.com/hubfs/favicon-1.png" alt="Audiense Logo" /> **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
 - <img height="12" width="12" src="https://axiom.co/favicon.ico" alt="Axiom Logo" /> **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
 - <img height="12" width="12" src="https://www.bankless.com/favicon.ico" alt="Bankless Logo" /> **[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
+- <img height="12" width="12" src="https://bicscan.io/favicon.png" alt="BICScan Logo" /> **[BICScan](https://github.com/ahnlabio/bicscan-mcp)** - Risk score / asset holdings of EVM blockchain address (EOA, CA, ENS) and even domain names.
 - <img height="12" width="12" src="https://www.box.com/favicon.ico" alt="Box Logo" /> **[Box](https://github.com/box-community/mcp-server-box)** - Interact with the Intelligent Content Management platform through Box AI.
 - <img height="12" width="12" src="https://browserbase.com/favicon.ico" alt="Browserbase Logo" /> **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
 - <img height="12" width="12" src="https://www.chargebee.com/static/resources/brand/favicon.png" /> **[Chargebee](https://github.com/chargebee/agentkit/tree/main/modelcontextprotocol)** - MCP Server that connects AI agents to [Chargebee platform](https://www.chargebee.com).
@@ -73,6 +74,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://cdn.prod.website-files.com/6605a2979ff17b2cd1939cd4/6605a460de47e7596ed84f06_icon256.png" alt="gotoHuman Logo" /> **[gotoHuman](https://github.com/gotohuman/gotohuman-mcp-server)** - Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your [gotoHuman](https://www.gotohuman.com) inbox.
 - <img height="12" width="12" src="https://grafana.com/favicon.ico" alt="Grafana Logo" /> **[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
 - <img height="12" width="12" src="https://framerusercontent.com/images/KCOWBYLKunDff1Dr452y6EfjiU.png" alt="Graphlit Logo" /> **[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
+- <img height="12" width="12" src="https://greptime.com/favicon.ico" alt="Greptime Logo" /> **[GreptimeDB](https://github.com/GreptimeTeam/greptimedb-mcp-server)** - Provides AI assistants with a secure and structured way to explore and analyze data in [GreptimeDB](https://github.com/GreptimeTeam/greptimedb).
 - <img height="12" width="12" src="https://img.alicdn.com/imgextra/i3/O1CN01d9qrry1i6lTNa2BRa_!!6000000004364-2-tps-218-200.png" alt="Hologres Logo" /> **[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data.
 - <img height="12" width="12" src="https://hyperbrowser-assets-bucket.s3.us-east-1.amazonaws.com/Hyperbrowser-logo.png" alt="Hyperbrowsers23 Logo" /> **[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
 - **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source
@@ -147,6 +149,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents.
 - **[Azure ADX](https://github.com/pab1it0/adx-mcp-server)** - Query and analyze Azure Data Explorer databases.
 - **[Azure DevOps](https://github.com/Vortiago/mcp-azure-devops)** - An MCP server that provides a bridge to Azure DevOps services, enabling AI assistants to query and manage work items.
+- **[Baidu AI Search](https://github.com/baidubce/app-builder/tree/master/python/mcp_server/ai_search)** - Web search with Baidu Cloud's AI Search
 - **[Base Free USDC Transfer](https://github.com/magnetai/mcp-free-usdc-transfer)** - Send USDC on [Base](https://base.org) for free using Claude AI! Built with [Coinbase CDP](https://docs.cdp.coinbase.com/mpc-wallet/docs/welcome).
 * **[Basic Memory](https://github.com/basicmachines-co/basic-memory)** - Local-first knowledge management system that builds a semantic graph from Markdown files, enabling persistent memory across conversations with LLMs.
 - **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
@@ -154,6 +157,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Bing Web Search API](https://github.com/leehanchung/bing-search-mcp)** (by hanchunglee) - Server implementation for Microsoft Bing Web Search API.
 - **[Bitable MCP](https://github.com/lloydzhou/bitable-mcp)** (by lloydzhou) - MCP server provides access to Lark Bitable through the Model Context Protocol. It allows users to interact with Bitable tables using predefined tools.
 - **[Blender](https://github.com/ahujasid/blender-mcp)** (by ahujasid) - Blender integration allowing prompt enabled 3D scene creation, modeling and manipulation.
+- **[browser-use](https://github.com/co-browser/browser-use-mcp-server)** (by co-browser) - browser-use MCP server with dockerized playwright + chromium + vnc. supports stdio & resumable http.
 - **[Bsc-mcp](https://github.com/TermiX-official/bsc-mcp)** The first MCP server that serves as the bridge between AI and BNB Chain, enabling AI agents to execute complex on-chain operations through seamless integration with the BNB Chain, including transfer, swap, launch, security check on any token and even more.
 - **[Calculator](https://github.com/githejie/mcp-server-calculator)** - This server enables LLMs to use calculator for precise numerical calculations.
 - **[CFBD API](https://github.com/lenwood/cfbd-mcp-server)** - An MCP server for the [College Football Data API](https://collegefootballdata.com/).
@@ -240,6 +244,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Keycloak MCP](https://github.com/ChristophEnglisch/keycloak-model-context-protocol)** - This MCP server enables natural language interaction with Keycloak for user and realm management including creating, deleting, and listing users and realms.
 - **[Kibela](https://github.com/kiwamizamurai/mcp-kibela-server)** (by kiwamizamurai) - Interact with Kibela API.
 - **[kintone](https://github.com/macrat/mcp-server-kintone)** - Manage records and apps in [kintone](https://kintone.com) through LLM tools.
+- **[Kong Konnect](https://github.com/Kong/mcp-konnect)** - A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics.
 - **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
 - **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
 - **[Langflow-DOC-QA-SERVER](https://github.com/GongRzhe/Langflow-DOC-QA-SERVER)** - A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.
@@ -266,6 +271,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Markdownify](https://github.com/zcaceres/mcp-markdownify-server)** - MCP to convert almost anything to Markdown (PPTX, HTML, PDF, Youtube Transcripts and more)
 - **[Mindmap](https://github.com/YuChenSSR/mindmap-mcp-server)** (by YuChenSSR) - A server that generates mindmaps from input containing markdown code.
 - **[Minima](https://github.com/dmayboroda/minima)** - MCP server for RAG on local files
+- **[Mobile MCP](https://github.com/mobile-next/mobile-mcp)** (by Mobile Next) - MCP server for Mobile(iOS/Android) automation, app scraping and development using physical devices or simulators/emulators.
 - **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB.
 - **[MongoDB Lens](https://github.com/furey/mongodb-lens)** - Full Featured MCP Server for MongoDB Databases.
 - **[Monday.com](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items.
@@ -323,6 +329,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[scrapling-fetch](https://github.com/cyberchitta/scrapling-fetch-mcp)** - Access text content from bot-protected websites. Fetches HTML/markdown from sites with anti-automation measures using Scrapling.
 - **[SearXNG](https://github.com/ihor-sokoliuk/mcp-searxng)** - A Model Context Protocol Server for [SearXNG](https://docs.searxng.org)
 - **[ServiceNow](https://github.com/osomai/servicenow-mcp)** - A MCP server to interact with a ServiceNow instance
+- **[Shopify](https://github.com/GeLi2001/shopify-mcp)** - MCP to interact with Shopify API including order, product, customers and so on.
 - **[Siri Shortcuts](https://github.com/dvcrn/mcp-server-siri-shortcuts)** - MCP to interact with Siri Shortcuts on macOS. Exposes all Shortcuts as MCP tools.
 - **[Snowflake](https://github.com/isaacwasserman/mcp-snowflake-server)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
 - **[Solana Agent Kit](https://github.com/sendaifun/solana-agent-kit/tree/main/examples/agent-kit-mcp-server)** - This MCP server enables LLMs to interact with the Solana blockchain with help of Solana Agent Kit by SendAI, allowing for 40+ protcool actions and growing
@@ -333,6 +340,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Tavily search](https://github.com/RamXX/mcp-tavily)** - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions
 - **[Telegram](https://github.com/chigwell/telegram-mcp)** - An MCP server that provides paginated chat reading, message retrieval, and message sending capabilities for Telegram through Telethon integration.
 - **[Terminal-Control](https://github.com/GongRzhe/terminal-controller-mcp)** - A MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
+- **[TFT-Match-Analyzer](https://github.com/GeLi2001/tft-mcp-server)** - MCP server for teamfight tactics match history & match details fetching, providing user the detailed context for every match.
 - **[Ticketmaster](https://github.com/delorenj/mcp-server-ticketmaster)** - Search for events, venues, and attractions through the Ticketmaster Discovery API
 - **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks.
 - **[Typesense](https://github.com/suhail-ak-s/mcp-typesense-server)** - A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. This server enables LLMs to discover, search, and analyze data stored in Typesense collections.

src/fetch/README.md

@@ -107,6 +107,10 @@ ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotoc
 
 This can be customized by adding the argument `--user-agent=YourUserAgent` to the `args` list in the configuration.
 
+### Customization - Proxy
+
+The server can be configured to use a proxy by using the `--proxy-url` argument.
+
 ## Debugging
 
 You can use the MCP inspector to debug the server. For uvx installations:

src/fetch/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mcp-server-fetch"
-version = "0.6.2"
+version = "0.6.3"
 description = "A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs"
 readme = "README.md"
 requires-python = ">=3.10"
@@ -16,6 +16,7 @@ classifiers = [
     "Programming Language :: Python :: 3.10",
 ]
 dependencies = [
+    "httpx<0.28",
     "markdownify>=0.13.1",
     "mcp>=1.1.3",
     "protego>=0.3.1",

src/fetch/src/mcp_server_fetch/__init__.py

@@ -15,9 +15,10 @@ def main():
         action="store_true",
         help="Ignore robots.txt restrictions",
     )
+    parser.add_argument("--proxy-url", type=str, help="Proxy URL to use for requests")
 
     args = parser.parse_args()
-    asyncio.run(serve(args.user_agent, args.ignore_robots_txt))
+    asyncio.run(serve(args.user_agent, args.ignore_robots_txt, args.proxy_url))
 
 
 if __name__ == "__main__":

src/fetch/src/mcp_server_fetch/server.py

@@ -63,7 +63,7 @@ def get_robots_txt_url(url: str) -> str:
     return robots_url
 
 
-async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
+async def check_may_autonomously_fetch_url(url: str, user_agent: str, proxy_url: str | None = None) -> None:
     """
     Check if the URL can be fetched by the user agent according to the robots.txt file.
     Raises a McpError if not.
@@ -72,7 +72,7 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
 
     robot_txt_url = get_robots_txt_url(url)
 
-    async with AsyncClient() as client:
+    async with AsyncClient(proxies=proxy_url) as client:
         try:
             response = await client.get(
                 robot_txt_url,
@@ -109,14 +109,14 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None:
 
 
 async def fetch_url(
-    url: str, user_agent: str, force_raw: bool = False
+    url: str, user_agent: str, force_raw: bool = False, proxy_url: str | None = None
 ) -> Tuple[str, str]:
     """
     Fetch the URL and return the content in a form ready for the LLM, as well as a prefix string with status information.
     """
     from httpx import AsyncClient, HTTPError
 
-    async with AsyncClient() as client:
+    async with AsyncClient(proxies=proxy_url) as client:
         try:
             response = await client.get(
                 url,
@@ -173,19 +173,22 @@ class Fetch(BaseModel):
         bool,
         Field(
             default=False,
-            description="Get the actual HTML content if the requested page, without simplification.",
+            description="Get the actual HTML content of the requested page, without simplification.",
         ),
     ]
 
 
 async def serve(
-    custom_user_agent: str | None = None, ignore_robots_txt: bool = False
+    custom_user_agent: str | None = None,
+    ignore_robots_txt: bool = False,
+    proxy_url: str | None = None,
 ) -> None:
     """Run the fetch MCP server.
 
     Args:
         custom_user_agent: Optional custom User-Agent string to use for requests
         ignore_robots_txt: Whether to ignore robots.txt restrictions
+        proxy_url: Optional proxy URL to use for requests
     """
     server = Server("mcp-fetch")
     user_agent_autonomous = custom_user_agent or DEFAULT_USER_AGENT_AUTONOMOUS
@@ -229,10 +232,10 @@ Although originally you did not have internet access, and were advised to refuse
             raise McpError(ErrorData(code=INVALID_PARAMS, message="URL is required"))
 
         if not ignore_robots_txt:
-            await check_may_autonomously_fetch_url(url, user_agent_autonomous)
+            await check_may_autonomously_fetch_url(url, user_agent_autonomous, proxy_url)
 
         content, prefix = await fetch_url(
-            url, user_agent_autonomous, force_raw=args.raw
+            url, user_agent_autonomous, force_raw=args.raw, proxy_url=proxy_url
         )
         original_length = len(content)
         if args.start_index >= original_length:
@@ -259,7 +262,7 @@ Although originally you did not have internet access, and were advised to refuse
         url = arguments["url"]
 
         try:
-            content, prefix = await fetch_url(url, user_agent_manual)
+            content, prefix = await fetch_url(url, user_agent_manual, proxy_url=proxy_url)
             # TODO: after SDK bug is addressed, don't catch the exception
         except McpError as e:
             return GetPromptResult(

src/puppeteer/README.md

@@ -8,7 +8,10 @@ A Model Context Protocol server that provides browser automation capabilities us
 
 - **puppeteer_navigate**
   - Navigate to any URL in the browser
-  - Input: `url` (string)
+  - Inputs:
+    - `url` (string, required): URL to navigate to
+    - `launchOptions` (object, optional): PuppeteerJS LaunchOptions. Default null. If changed and not null, browser restarts. Example: `{ headless: true, args: ['--user-data-dir="C:/Data"'] }`
+    - `allowDangerous` (boolean, optional): Allow dangerous LaunchOptions that reduce security. When false, dangerous args like `--no-sandbox`, `--disable-web-security` will throw errors. Default false.
 
 - **puppeteer_screenshot**
   - Capture screenshots of the entire page or specific elements
@@ -61,6 +64,7 @@ The server provides access to two types of resources:
 - Screenshot capabilities
 - JavaScript execution
 - Basic web interaction (navigation, clicking, form filling)
+- Customizable Puppeteer launch options
 
 ## Configuration to use Puppeteer Server
 Here's the Claude Desktop configuration to use the Puppeter server:
@@ -93,6 +97,39 @@ Here's the Claude Desktop configuration to use the Puppeter server:
 }
 ```
 
+### Launch Options
+
+You can customize Puppeteer's browser behavior in two ways:
+
+1. **Environment Variable**: Set `PUPPETEER_LAUNCH_OPTIONS` with a JSON-encoded string in the MCP configuration's `env` parameter:
+
+    ```json
+    {
+      "mcpServers": {
+        "mcp-puppeteer": {
+          "command": "npx",
+          "args": ["-y", "@modelcontextprotocol/server-puppeteer"],
+          "env": {
+            "PUPPETEER_LAUNCH_OPTIONS": "{ \"headless\": false, \"executablePath\": \"C:/Program Files/Google/Chrome/Application/chrome.exe\", \"args\": [] }",
+            "ALLOW_DANGEROUS": "true"
+          }
+        }
+      }
+    }
+    ```
+
+2. **Tool Call Arguments**: Pass `launchOptions` and `allowDangerous` parameters to the `puppeteer_navigate` tool:
+
+   ```json
+   {
+     "url": "https://example.com",
+     "launchOptions": {
+       "headless": false,
+       "defaultViewport": {"width": 1280, "height": 720}
+     }
+   }
+   ```
+
 ## Build
 
 Docker build:

src/puppeteer/index.ts

@@ -22,7 +22,9 @@ const TOOLS: Tool[] = [
     inputSchema: {
       type: "object",
       properties: {
-        url: { type: "string" },
+        url: { type: "string", description: "URL to navigate to" },
+        launchOptions: { type: "object", description: "PuppeteerJS LaunchOptions. Default null. If changed and not null, browser restarts. Example: { headless: true, args: ['--no-sandbox'] }" },
+        allowDangerous: { type: "boolean", description: "Allow dangerous LaunchOptions that reduce security. When false, dangerous args like --no-sandbox will throw errors. Default false." },
       },
       required: ["url"],
     },
@@ -101,16 +103,65 @@ const TOOLS: Tool[] = [
 ];
 
 // Global state
-let browser: Browser | undefined;
+let browser: Browser | null;
-let page: Page | undefined;
+let page: Page | null;
 const consoleLogs: string[] = [];
 const screenshots = new Map<string, string>();
+let previousLaunchOptions: any = null;
+
+async function ensureBrowser({ launchOptions, allowDangerous }: any) {
+
+  const DANGEROUS_ARGS = [
+    '--no-sandbox',
+    '--disable-setuid-sandbox',
+    '--single-process',
+    '--disable-web-security',
+    '--ignore-certificate-errors',
+    '--disable-features=IsolateOrigins',
+    '--disable-site-isolation-trials',
+    '--allow-running-insecure-content'
+  ];
+
+  // Parse environment config safely
+  let envConfig = {};
+  try {
+    envConfig = JSON.parse(process.env.PUPPETEER_LAUNCH_OPTIONS || '{}');
+  } catch (error: any) {
+    console.warn('Failed to parse PUPPETEER_LAUNCH_OPTIONS:', error?.message || error);
+  }
+
+  // Deep merge environment config with user-provided options
+  const mergedConfig = deepMerge(envConfig, launchOptions || {});
+
+  // Security validation for merged config
+  if (mergedConfig?.args) {
+    const dangerousArgs = mergedConfig.args?.filter?.((arg: string) => DANGEROUS_ARGS.some((dangerousArg: string) => arg.startsWith(dangerousArg)));
+    if (dangerousArgs?.length > 0 && !(allowDangerous || (process.env.ALLOW_DANGEROUS === 'true'))) {
+      throw new Error(`Dangerous browser arguments detected: ${dangerousArgs.join(', ')}. Fround from environment variable and tool call argument. ` +
+        'Set allowDangerous: true in the tool call arguments to override.');
+    }
+  }
+
+  try {
+    if ((browser && !browser.connected) ||
+      (launchOptions && (JSON.stringify(launchOptions) != JSON.stringify(previousLaunchOptions)))) {
+      await browser?.close();
+      browser = null;
+    }
+  }
+  catch (error) {
+    browser = null;
+  }
+
+  previousLaunchOptions = launchOptions;
 
-async function ensureBrowser() {
   if (!browser) {
     const npx_args = { headless: false }
     const docker_args = { headless: true, args: ["--no-sandbox", "--single-process", "--no-zygote"] }
-    browser = await puppeteer.launch(process.env.DOCKER_CONTAINER ? docker_args : npx_args);
+    browser = await puppeteer.launch(deepMerge(
+      process.env.DOCKER_CONTAINER ? docker_args : npx_args,
+      mergedConfig
+    ));
     const pages = await browser.pages();
     page = pages[0];
 
@@ -126,6 +177,31 @@ async function ensureBrowser() {
   return page!;
 }
 
+// Deep merge utility function
+function deepMerge(target: any, source: any): any {
+  const output = Object.assign({}, target);
+  if (typeof target !== 'object' || typeof source !== 'object') return source;
+
+  for (const key of Object.keys(source)) {
+    const targetVal = target[key];
+    const sourceVal = source[key];
+    if (Array.isArray(targetVal) && Array.isArray(sourceVal)) {
+      // Deduplicate args/ignoreDefaultArgs, prefer source values
+      output[key] = [...new Set([
+        ...(key === 'args' || key === 'ignoreDefaultArgs' ?
+          targetVal.filter((arg: string) => !sourceVal.some((launchArg: string) => arg.startsWith('--') && launchArg.startsWith(arg.split('=')[0]))) :
+          targetVal),
+        ...sourceVal
+      ])];
+    } else if (sourceVal instanceof Object && key in target) {
+      output[key] = deepMerge(targetVal, sourceVal);
+    } else {
+      output[key] = sourceVal;
+    }
+  }
+  return output;
+}
+
 declare global {
   interface Window {
     mcpHelper: {
@@ -136,7 +212,7 @@ declare global {
 }
 
 async function handleToolCall(name: string, args: any): Promise<CallToolResult> {
-  const page = await ensureBrowser();
+  const page = await ensureBrowser(args);
 
   switch (name) {
     case "puppeteer_navigate":
@@ -285,15 +361,15 @@ async function handleToolCall(name: string, args: any): Promise<CallToolResult>
               window.mcpHelper.logs.push(`[${method}] ${args.join(' ')}`);
               (window.mcpHelper.originalConsole as any)[method](...args);
             };
-          } );
+          });
-        } );
+        });
 
-        const result = await page.evaluate( args.script );
+        const result = await page.evaluate(args.script);
 
         const logs = await page.evaluate(() => {
           Object.assign(console, window.mcpHelper.originalConsole);
           const logs = window.mcpHelper.logs;
-          delete ( window as any).mcpHelper;
+          delete (window as any).mcpHelper;
           return logs;
         });