Shelpuk-AI-Technology-Consulting/kindly-web-search-mcp-server

What it solves

Kindly Web Search solves the problem of AI coding assistants receiving incomplete or noisy web search results. Most search tools provide only a URL and a short snippet, forcing the AI to make additional scraping calls that often return irrelevant HTML noise (ads, navigation panels) or incomplete content, which wastes tokens and degrades code generation quality.

How it works

It is a Model Context Protocol (MCP) server that provides AI agents with high-quality, structured content in a single call. It uses a priority-based content resolver to extract data:

1. Specialized APIs: It integrates directly with StackExchange, GitHub Issues/Discussions, Wikipedia, and arXiv to return full conversations, answers, and metadata in LLM-optimized formats.
2. Markdown Fast Paths: It attempts to fetch markdown directly from supported documentation sites to avoid browser overhead.
3. Headless Browser: For all other URLs, it uses a headless Chromium browser (nodriver) to parse pages in real-time.

It supports multiple search providers including Serper, SerpBase, Tavily, SearXNG, Sofya, You.com, and Serply.

Who it’s for

Developers using AI coding agents (such as Claude Code, Cursor, Windsurf, Codex, or Antigravity) who need their assistants to have up-to-date API documentation and the ability to find actual solutions and discussions within technical forums and issue trackers.

Highlights

• Single-Call Retrieval: Returns the full conversation (questions, answers, comments) immediately, eliminating the need for separate scraping steps.
• ** wysokiej-quality Extraction**: Uses specialized handlers for technical sites like GitHub and StackOverflow to ensure structured, useful content.
• Broad Provider Support: Compatible with a wide array of search APIs and self-hosted options like SearXNG.
• Flexible Infrastructure: Supports standard proxy environment variables and Chromium-based browsers for universal HTML loading.