reurinkkeano

reurinkkeano / serpent

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Open-source metasearch backend for MCP, AI agents, and LLM workflows. Aggregates Google, DuckDuckGo, Bing, Brave, Wikipedia, GitHub, arXiv, Reddit, Stack Overflow, and more into a structured JSON search API with FastAPI, provider fallback, deduplication, and MCP server support.

23
0
100% credibility
Found Apr 14, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Serpent is an open-source metasearch engine that aggregates structured results from dozens of web, academic, and code search providers for AI agent workflows.

How It Works

1
🔍 Discover Serpent

You hear about Serpent, a friendly tool that pulls together search results from many places to make your AI helper much smarter at finding info.

2
📥 Bring It Home

You grab the free tool and set it up on your computer following easy steps, like unpacking a gift.

3
🔗 Link Search Friends

You connect it to helpful search services—some free, some with a small subscription—so it can gather from all over the web.

4
🚀 Launch Your Hub

You start the search hub with a simple click, and it comes alive on your computer, ready to work.

5
🤖 Team Up with AI

You introduce Serpent to your AI chat buddy, like Claude, so it uses the hub for all its searches.

6
📊 Watch Magic Happen

Now your AI sends questions to the hub, gets neat combined results from everywhere, and answers better.

🎉 Smarter AI Wins

Your AI helper now searches wider and wiser, saving you time and giving spot-on info every day.

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Star Growth

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AI-Generated Review

What is serpent?

Serpent is a Python FastAPI backend that aggregates search results from Google, DuckDuckGo, Bing, Brave, Wikipedia, GitHub, arXiv, Reddit, Stack Overflow, and more into a unified JSON schema. It solves the pain of brittle web scraping for AI agents and LLM workflows by offering concurrent queries, automatic fallback, deduplication, and provider stats. Run it as an HTTP API with POST /search endpoints or an MCP server for direct LLM tool calls like search_web or search_github.

Why is it gaining traction?

Unlike human-facing metasearch like SearXNG, serpent delivers machine-readable output with stable fields, timings, and extras like GitHub stars or arXiv authors—perfect for open source metasearch engine needs in agent pipelines. MCP support hooks right into tools like Claude Desktop or Continue.dev, while Docker Compose and env-based config make self-hosting dead simple. Provider tags let you target dev searches (GitHub, npm) or academic ones effortlessly.

Who should use this?

AI engineers wiring LLM agents for research or code discovery, backend devs building serpent ai github integrations, or teams needing a privacy-focused alternative to paid APIs like Tavily. Ideal for open source github tools hunters querying repos, packages, and forums without rate limit hassles.

Verdict

With 15 stars and 1.0% credibility score, it's immature—no tests visible, basic error handling—but excellent README, interactive docs, and a clear roadmap (caching, re-ranking) make it viable for prototypes. Try it if you need quick metasearch today; fork and contribute to mature this open source gem.

(198 words)

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