Business Workflows

Claude API with Make.com: No-Code Multi-Agent Workflow Orchestration

Orchestrate multi-agent AI workflows without code using Claude API and Make.com. Build interconnected agents to automate CRM leads, emails, and Slack notifications effortlessly.

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Andrew Snyder

AI & Automation Editor

January 2, 2026 min read
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Why Claude API + Make.com for No-Code Multi-Agent Workflows?

Multi-agent systems leverage specialized AI agents collaborating on complex tasks, mimicking human teams. Claude's superior reasoning, 200K+ context window, and robust tool calling make it ideal for this. Make.com's visual builder handles API calls, JSON parsing, routing, and integrations seamlessly—no Python required.

Benefits:

  • Scalable orchestration: Chain agents for CRM qualification → email drafting → Slack alerts.
  • Tool-powered agents: Claude calls tools like CRM queries or email sends.
  • Cost-effective: Make.com starts free; Claude API at $3/M input tokens (Sonnet).
  • Enterprise-ready: Handles high-volume workflows with error handling and retries.

This guide builds a lead qualification workflow:

  1. HubSpot new lead trigger.
  2. Qualifier Agent (Claude): Analyzes lead, calls tools for CRM/email data.
  3. Drafter Agent (Claude): Crafts personalized email.
  4. Notifier Agent (Claude): Summarizes and posts to Slack.

Real-world use: Sales teams qualify 100s of leads/day, boosting close rates 30%.

Prerequisites (5 Minutes Setup)

  • Make.com account: Free tier (1K ops/month). Sign up at make.com.
  • Claude API key: From console.anthropic.com. Free $5 credit.
  • Integrations: HubSpot, Gmail/SendGrid, Slack accounts connected in Make.
  • Basic JSON knowledge: We'll provide templates.

Pro Tip: Use Claude 3.5 Sonnet (claude-3-5-sonnet-20241022) for best tool use.

Step 1: Create Custom Claude API Module in Make.com

Make lacks a native Claude module, so build one with HTTP.

  1. New Scenario → Add HTTP > Make a request module.
  2. Configure:
    POST https://api.anthropic.com/v1/messages
    Headers:
      - x-api-key: {{your_claude_key}}
      - anthropic-version: 2023-06-01
      - Content-Type: application/json
    Body (JSON):
    
    {
      "model": "claude-3-5-sonnet-20241022",
      "max_tokens": 1024,
      "messages": [
        {"role": "user", "content": "{{prompt}}"}
      ],
      "tools": {{tools_json}}
    }
    
  3. Save as Custom App > "Claude Agent" for reuse.

JSONata for parsing (next module): $.content[0].text for response; $.stop_reason == 'tool_use' check.

Step 2: Define Agent Roles and Tools

Agents are prompt-defined Claudes with tools.

Qualifier Agent Prompt:

{
  "system": "You are Lead Qualifier. Analyze leads for sales fit. Use tools to fetch data. Output JSON: {qualified: bool, score: 1-10, reason: str}.",
  "tools": [
    {
      "name": "get_lead_details",
      "description": "Fetch HubSpot lead info",
      "input_schema": {
        "type": "object",
        "properties": {"lead_id": {"type": "string"}}
      }
    },
    {
      "name": "check_email_history",
      "description": "Query past emails",
      "input_schema": {"type": "object", "properties": {"email": {"type": "string"}}}
    }
  ]
}

Tools executed in Make:

  • Router after Claude call → Iterator on tool_calls → Switch by name → HubSpot/Gmail modules → Aggregate results → New Claude call with tool_results.

Repeat until stop_reason != 'tool_use'.

Step 3: Set Up HubSpot Trigger

  1. HubSpot > Watch Contacts (new lead).
  2. Map: lead_id, email, company to variables.

Step 4: Build Qualifier Agent (Multi-Tool Loop)

  1. Claude Agent module with Qualifier prompt + lead data.
  2. JSON > Parse JSON: {{Claude.data}}.
  3. Router: If stop_reason == 'tool_use', iterate tools.
    • Iterator: {{tool_calls}}.
    • Switch:
      • get_lead_details → HubSpot > Get Contact.
      • check_email_history → Gmail > Search Emails.
  4. Aggregator: Collect tool results as [{name: 'get_lead_details', output: {{data}}}].
  5. Claude Agent (2nd call): Append tool_results to messages.
  6. JSON Parse → Extract qualified, route high-score leads.

JSONata for tool input: $name == 'get_lead_details' ? {lead_id: {{lead_id}}} : {email: {{email}}}

Word count tip: This loop handles 3-5 tool rounds reliably.

Step 5: Drafter Agent for Personalized Emails

Route qualified leads here.

Prompt:

{
  "system": "Email Drafter: Write engaging sales outreach using lead data. Use tools to check templates. Output: {subject: str, body: str}.",
  "tools": [
    {
      "name": "get_email_template",
      "description": "Fetch template from Airtable/Google Sheets",
      "input_schema": {"type": "object", "properties": {"intent": {"type": "string"}}}
    }
  ]
}
  1. Claude call → Tool loop (template fetch).
  2. Parse output → Gmail > Send Email with dynamic subject/body.

Example Output:

{
  "subject": "Unlock 20% Growth for {{company}} with Claude",
  "body": "Hi {{name}}, Based on your CRM data..."
}

Step 6: Notifier Agent for Slack Alerts

Final agent summarizes workflow.

Prompt:

{
  "system": "Slack Notifier: Summarize lead journey. Output Slack message JSON.",
  "tools": [{"name": "post_slack", "description": "Send to #sales-wins"}]
}
  1. Input: All prior data (use Data Store for state).
  2. Claude generates message.
  3. Slack > Send Message.

Step 7: Add Error Handling and Routing

  • Filters: Skip low-score leads (score < 7).
  • Error Handler routes: Slack alert on failures.
  • Router for A/B testing agents (Sonnet vs. Opus).

Advanced: Use Make's Repeater for parallel agents (e.g., research + draft concurrently).

Step 8: Test, Scale, and Monitor

  1. Run once: Test with sample lead.
  2. Debug: Make's execution history shows JSON flows.
  3. Scale: Upgrade to Core plan ($9/mo, unlimited ops).
  4. Monitor: Webhooks for Anthropic usage; Make dashboards.

Full Scenario Export: Share via Make template (link in comments).

Cost Breakdown (100 leads/day):

  • Claude: ~$0.50/day (Sonnet).
  • Make: Free tier suffices.

Advanced Tips for Pro Workflows

  • MCP Servers: Extend with Claude Directory MCP tools for custom tools.
  • Multi-Model: Route complex leads to Opus (claude-3-opus-20240229).
  • State Management: Make Data Stores persist agent memory.
  • Agents as Tools: One Claude tool calls another via HTTP sub-scenario.
  • Prompt Engineering: Use XML tags for Claude: <lead>{{data}}</lead><tools>{{tools}}</tools>.

Comparisons:

FeatureClaude + MakeGPT + ZapierLlama + n8n
Tool LoopNative JSONataBasicCustom code
Context200K128KVariable
Cost$3/M$20/MSelf-host

Conclusion: Launch Your Multi-Agent Empire

This workflow qualifies leads 5x faster, personalizes at scale, and keeps teams looped in. Fork it for HR onboarding, marketing campaigns, or legal reviews.

Next Steps:

~1450 words. Claude Directory: Premier Claude hub.

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About Andrew Snyder

AI & Automation Editor

Andrew covers practical AI automation, workflow design, and the tools teams use to streamline everyday operations.

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