How long does this build a research workflow in claude code tutorial take?

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

What do I need before starting?

Claude Code installed. A Scavio API key. A Scavio API key gives you 500 free credits per month.

Can I run this tutorial with the free tier?

Yes. The free tier includes 500 credits per month, which is more than enough to complete this tutorial and prototype a working solution.

What frameworks does this work with?

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Build Research Workflow in Claude Code (2026)

Claude Code with MCP search transforms your terminal into a research workstation. Instead of switching between browser tabs, search multiple platforms directly from Claude Code and have findings synthesized into structured documents. This tutorial sets up the workflow.

Prerequisites

Claude Code installed
A Scavio API key

Walkthrough

Step 1: Configure Scavio MCP in your project

Add Scavio MCP to your project's .mcp.json for research capabilities.

JSON

// Create or edit .mcp.json in your project root:
{
  "mcpServers": {
    "scavio": {
      "url": "https://mcp.scavio.dev/mcp",
      "headers": {
        "x-api-key": "your_scavio_api_key"
      }
    }
  }
}

Step 2: Use search tools in Claude Code

Once configured, ask Claude Code to research topics using the available search tools.

Bash

# In Claude Code, you can now say:
# 'Research the current state of SERP API pricing in 2026.
#  Search Google for official pricing pages and Reddit for developer opinions.'

# Claude Code will:
# 1. Use google_search tool for pricing data
# 2. Use reddit_search tool for community opinions
# 3. Synthesize into a research document

# Other useful research patterns:
# 'Search YouTube for tutorials on FastAPI deployment and summarize the top approaches'
# 'Search Reddit for complaints about Brave Search API and identify common issues'
# 'Search Google for the latest on the SerpAPI lawsuit, check Reddit for analysis'

Step 3: Create a CLAUDE.md research prompt

Add a research instruction to your CLAUDE.md so Claude Code knows your research preferences.

# Add to your project's CLAUDE.md:

## Research Workflow
- When researching a topic, always search at least 2 platforms (Google + Reddit minimum)
- Format research findings as Markdown documents in the /research folder
- Include source URLs for every claim
- For technical topics, also search YouTube for tutorial content
- Use structured format: Summary > Sources > Key Findings > Open Questions

Step 4: Example research session

Walk through a complete research session in Claude Code.

Bash

# Example interaction in Claude Code:

# You: 'Research alternatives to Brave Search API for our project.
#       We need something with a free tier, MCP support, and multi-platform search.'

# Claude Code will:
# 1. google_search('brave search api alternatives 2026 free tier')
# 2. reddit_search('brave search api alternative mcp')
# 3. google_search('search api mcp server comparison')
# 4. Create a document like research/brave-alternatives.md with findings

# Output: A structured document with:
# - Summary of options (Scavio, Serper, Tavily, etc.)
# - Pricing comparison table
# - Community opinions from Reddit
# - Recommendation based on your requirements

Python Example

Python

# No Python needed - MCP handles integration directly in Claude Code.
# Configure .mcp.json and ask Claude Code to research topics.
# Results come from: google_search, reddit_search, youtube_search,
# amazon_search, walmart_search tools.

JavaScript Example

JavaScript

// .mcp.json configuration:
{
  "mcpServers": {
    "scavio": {
      "url": "https://mcp.scavio.dev/mcp",
      "headers": { "x-api-key": "your_key" }
    }
  }
}

Expected Output