The Problem
Engineering teams waste time context-switching between Azure DevOps and web browsers. Work items reference technologies that change rapidly, but agents cannot verify information without search access.
How Scavio Helps
- MCP server for Azure DevOps work items + Scavio MCP for web search
- Agent verifies library versions and compatibility before updating tickets
- Search for Stack Overflow solutions referenced in work item comments
- Automated work item enrichment with current documentation links
- Combine internal project context with live web intelligence
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "azure devops rest api work items create update":
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 Engineering teams using Azure DevOps for project management and sprint planning
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your mcp azure devops work item tracking with search context 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.