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

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

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

Dynamic MCP server for Node.js enabling runtime tool creation, management, and execution in isolated sandboxes (Docker or Node).

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.

Exposes GitHub issue operations as tools for LLM agents, enabling listing, creating, commenting on, closing, and searching issues via natural language.

An MCP server providing read-only access to Linear issues for language models, allowing them to fetch issue details and comments using a Linear API token.

Enables secure, runtime-authenticated MySQL database querying and mutation through dynamic tools, allowing AI assistants to list databases/tables, describe schemas, and perform CRUD operations.

Enables fetching web URLs through authenticated residential egress with provider, country, and session controls. It also exposes tools for checking the exit IP, account status, and masked connection URL.

A flexible, extensible framework for building MCP servers with API key authentication, user management, and dynamic tool sharing.

Enables AI assistants to discover, filter, and triage GitHub issues across repositories, with tools for fetching issue details, listing issues by state/labels, and finding related pull requests.

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.

Look up what the official MCP Registry declares for a server and what Lowdown observed: daily reachability, HTTP status, tool names and tool-schema changes over the last 30 days, plus outcomes reported by agents. A public time-series record for a fixed sample of 5,000 Registry servers. Recorded facts only, no scores or rankings. Raw data: CC BY 4.0.

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 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.

An MCP server that acts as a proxy between IDEs and the mcpd daemon, exposing all mcpd-managed MCP servers through a unified interface.

Converts any OpenAPI v3 spec into an MCP server with typed tools, resources, and prompts, enabling AI agents to call any REST API via natural language.