Coding Agent with Fresh Docs and GitHub Issues

The Problem

Coding agents (Cursor, Claude Code, OpenCode, Codex) that rely only on model training data hallucinate APIs that changed six months ago, miss security advisories, and suggest fixes for bugs that were resolved in open GitHub issues. Users waste time debugging the agent.

The Scavio Solution

Wire Scavio into the coding agent as an MCP tool so it can query real-time Google SERP for current docs, GitHub issue search for open bugs on the user's dependency versions, and Reddit threads for community gotchas. The agent grounds every suggestion in evidence fetched at call time.

Who It Is For

Teams building coding agents, IDE extensions, or MCP servers for Claude Code, Cursor, OpenCode, and similar tools.

Key Benefits

• Live Google SERP for current docs
• GitHub issue search via SERP site: filter
• Reddit context for community gotchas
• MCP-ready for Claude Code, Cursor, OpenCode
• Grounded citations in every agent answer

Python Example

import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def fresh_docs(pkg, version):
    return requests.post('https://api.scavio.dev/api/v1/search',
        headers=H, json={'query': f'{pkg} {version} docs site:docs.{pkg}.org OR site:github.com/{pkg}'}).json()

def open_issues(pkg, error):
    return requests.post('https://api.scavio.dev/api/v1/search',
        headers=H, json={'query': f'site:github.com/{pkg}/issues {error}'}).json()

JavaScript Example

const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' };

async function freshDocs(pkg, version) {
  return fetch('https://api.scavio.dev/api/v1/search', {
    method: 'POST', headers: H,
    body: JSON.stringify({ query: `${pkg} ${version} docs site:docs.${pkg}.org OR site:github.com/${pkg}` })
  }).then(r => r.json());
}

Platforms Used