"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.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables solving CAPTCHA challenges via MCP with bounded attempts and result validation.

A proxy MCP server that connects to Tavily's official Streamable HTTP MCP, managing multiple API keys and automatically switching to the next one when the current key's quota is exhausted.

Enables Claude to receive physical touch events from a phone via the PWA and respond with text, haptic vibrations, and expression changes, giving an AI companion embodied presence through touch.

A comprehensive MCP proxy server that bridges MCP clients with Ollama local language models, providing advanced features like RAG integration, context management, caching, and production-ready security.

Enables local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.

为纯文本主模型提供多模态能力的MCP服务器，通过外包图像、视频和音频分析给外部多模态模型并回填文字结果。

OpenAI-compatible proxy with PII scrubbing, audit logging, and model routing. Drop-in replacement — set OPENAI_BASE_URL to point to this server. Supports GPT-4o, Claude, Gemini, and Llama via single endpoint.

MCP proxy server for Moa365 AI budgeting app, enabling expense recording, monthly summaries, and recent expense listing through natural language.

A FastMCP-based proxy server that seamlessly integrates any MCP client with the Devin MCP API, enabling AI-powered repository analysis and question answering.

Enables clients to optimize prompt prefix caching by matching longest common token prefixes with a radix trie, eliminating redundant prefill computation and reducing time-to-first-token.

Enables inference engines to match longest common prompt token prefixes via a radix trie, so cached KV-cache blocks are reused instead of re-prefilled. This eliminates redundant prefill computation and lowers time-to-first-token, alongside paged attention allocation, speculative decoding verification, INT8 quantization, and latency telemetry.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Reduces MCP tool schema token overhead by lazy-loading and caching schemas, with response compression and verifiable savings metrics.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

GenPark MCP server for selecting relevant context under token and latency constraints.

Connects Augment to third-party Anthropic-compatible APIs locally, letting users keep full Augment functionality without spending Augment credits and while keeping code on their own machine.

An MCP server that provides a chat tool with stateless instances and external session state, enabling durable conversation history and concurrent client handling.

Enables AI agents and MCP-compliant clients to dynamically shrink long-horizon context windows, pruning verbose tool outputs, HTML boilerplate, and semantic redundancy by roughly 40-70% without frontier LLM round-trips. Runs deterministically as a zero-dependency Python stdio server, accepting a payload plus optional compression and risk-bound options.