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securityF
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qualityOpens a browser to monitor and retrieve console logs and network requests, providing structured data about web page behavior to LLMs.
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Python
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Why this server?
This server opens a browser to monitor console logs and network requests, providing structured data about web page behavior to LLMs. This directly addresses the user's request to look into the dev tool console.
Why this server?
This server enables AI assistants to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages, which could be relevant for inspecting console outputs.
Why this server?
Enables interactive debugging for code with features to set breakpoints and evaluate expressions in the stack frame which is equivalent of 'looking into dev tool console'.
Why this server?
Integrates Cursor AI with Vite Dev server, allowing AI agents to modify code and observe live updates through the Hot Module Replacement system in real-time, giving feedback similar to looking at a console.
Why this server?
Enables IDE access to Supabase databases with SQL query execution, schema management, Auth admin operations, and built-in safety controls to prevent accidental destructive actions.
Why this server?
A Model Context Protocol server that lets AI assistants like Claude Desktop to perform web searches using the Exa AI Search API for web searches, provides web analysis capabilities similar to viewing information in the console.
Why this server?
A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas, giving some capabilities to console logs in a dev environment.
Why this server?
Allows executing shell commands within a secure Docker container through Claude's MCP interface, providing Kubernetes tools and isolated environment without host Docker daemon access, that can give information to debug a project similar to looking at a dev tool console.
Why this server?
An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information, that can be shown in a dev tool console.
Why this server?
Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions, giving insights to development tool's console.