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Google ADK
Make.com Webhook Trigger MCP Server

Bring Webhooks
to Google ADK

Learn how to connect Make.com Webhook Trigger to Google ADK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

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Trigger Make Webhook

Compatible with every major AI agent and IDE

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+ other MCP clients
Make.com Webhook Trigger

What is the Make.com Webhook Trigger MCP Server?

We refused to build thousands of individual MCP integrations for every SaaS app in the world. Instead, this MCP server provides a universal, zero-trust bridge to Make.com (formerly Integromat): just triggering a Custom Webhook.

Your AI agent gains the immediate, zero-friction ability to kick off complex workflows—like generating contracts, issuing invoices, or adding contacts to CRMs—by simply dumping a structured JSON payload into a Make.com scenario.

The Superpowers

  • The Ultimate Joker Card: Why code a custom API integration when you can just build a scenario in Make? The agent sends the data, and Make does the visual routing to over 5,000+ apps.
  • Zero-Bloat Integration: No massive SDKs. It uses a direct POST fetch to your specific Make Custom Webhook URL. You just provide the URL and the AI provides the JSON.
  • Absolute Containment: Because this is strictly a sending tool (Push only), the agent cannot read your Make.com account, cannot edit your scenarios, and cannot access other webhooks. It is a secure, one-way trigger.

Built-in capabilities (1)

trigger_make_webhook

com scenario. Provide the data you want to send in the "payloadJson" parameter as a valid JSON string. The Make scenario will receive this data and process it. Send a JSON payload to a Make.com (Integromat) Custom Webhook to trigger an automation scenario

Why Google ADK?

Google ADK natively supports Make.com Webhook Trigger as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

  • Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Make.com Webhook Trigger

  • Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

  • Seamless integration with Google Cloud services means you can combine Make.com Webhook Trigger tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

Make.com Webhook Trigger in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Make.com Webhook Trigger and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Make.com Webhook Trigger to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Make.com Webhook Trigger in Google ADK

The Make.com Webhook Trigger MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Make.com Webhook Trigger
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Make.com Webhook Trigger for Google ADK

Every tool call from Google ADK to the Make.com Webhook Trigger MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can the agent receive responses back from Make.com with this?

No. Make Webhooks respond immediately with 'Accepted'. The agent cannot wait for the scenario to finish executing or retrieve data from the final step of the Make scenario. This is strictly a 'fire and forget' trigger.

02

Do I need a paid Make.com account?

No. You can use Custom Webhooks on the free tier of Make.com. You just need to create a new scenario starting with the 'Custom Webhook' module.

03

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

04

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

05

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

06

McpToolset not found

Update: pip install --upgrade google-adk

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