"Techniques for Scraping Dynamic Websites with JavaScript and Handling CAPTCHA or Proxy Issues" matching MCP servers:

Enables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.

Local stdio MCP server with six tools for browser verification detection, authorized provider test-key and owned image/text actions, and task resumption in an existing Playwright/CDP session. Includes four demos with server validation.

Deterministic MCP server for semantic analysis of JavaScript/TypeScript codebases, including frameworks like Vue, Angular, React, and Node. It provides tools for type checking, code metrics, framework-specific analysis, and quality heuristics via static parsing.

Enables AI assistants to control a real Chrome browser with trusted mouse input to solve interactive CAPTCHAs like sliders, using a Chrome extension and OS-level mouse automation.

A standalone MCP server that exposes a narrow set of GitHub Issues tools for a single repository, securely handling a GitHub personal access token so agents never see the credential.

Enables interactive reincarnation storytelling where users choose their path after death, becoming characters like a vengeful spirit, Bilbo Baggins, or Monkey D. Luffy. Features dynamic narrative generation with personalized story paths based on user choices and soul-searching questions.

Provides browser automation and reCAPTCHA v2 solving tools for AI agents, integrating Selenium and 2Captcha.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

A Model Context Protocol (MCP) server that enables secure execution of shell commands with a dynamic approval system, audit logging, and command revocation.

Universal MCP proxy server that discovers, searches, and executes tools across all configured MCP servers from a single entry point.

A dynamic MCP proxy that allows switching environment variables on-the-fly, enabling context switching for multiple AWS accounts or Kubernetes clusters without restarting the client.

A Model Context Protocol (MCP) server that injects 'Just-in-Time' context into AI conversations based on file paths and glob patterns.

Agents should not have to trust tools they've never interacted with. lowdown-proxy wraps any MCP server and records interaction history — success rates, latency, failure types — queryable by any agent before choosing a tool.

A proxy MCP server that reduces token usage by caching tool definitions locally and loading them on demand, supporting multiple backend MCP servers.

Runs a local HTTPS MITM proxy to intercept and mock network traffic from Android devices at the network level, enabling AI agents to register JSON transform rules and static responses without modifying app source code.

A minimal MCP server that lets an MCP client run shell commands on remote hosts over SSH, with host, key, user, and port chosen per call.

An HTTP/HTTPS MITM proxy server that enables capture, modification, and mocking of network traffic across Chrome, CLI tools, Docker containers, and Android devices. It supports advanced capabilities like JA3/JA4 TLS fingerprinting, JA3 spoofing, and upstream proxy chaining.

A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client, allowing users to easily create and deploy custom AI tools.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.