Scavio for Coding Agent Live Documentation Lookup

The Problem

AI coding agents generate code based on training data that may be months old. Libraries change APIs, deprecate functions, and release new versions. Code generated from stale training data fails at runtime.

How Scavio Helps

• Eliminates outdated API usage in generated code
• MCP integration requires only a config change
• Agent searches on demand, not for every query
• Google search finds current docs, Reddit finds community solutions
• Works with any MCP-compatible coding agent

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Developer asks Claude Code to generate a LangChain tool-calling pipeline. Claude is unsure about the current API for tool calling (it changed in v0.3). MCP search finds LangChain docs for current version. Claude generates correct code using the current API.":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Developers using Claude Code, Cursor, GitHub Copilot, or other AI coding assistants

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your coding agent live documentation lookup solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.