Compatible with every major AI agent and IDE
What is the Route4Me MCP Server?
What you can do
- Route Optimizations: Analyze and extract reports generated by your VRP algorithms.
- Address Book Management: Create or delete customer addresses on the fly.
- Vehicle Tracking: Read current available fleet.
How it works
- Sign up for a Route4Me account.
- Navigate to your Developer/API settings to copy your API Token.
- Insert your API Key directly into Vinkius vault.
Who is this for?
Perfect for logistics managers and transportation analysts aiming to extract reporting data through AI conversational interfaces without dealing with CSV exports.
Built-in capabilities (10)
Send details as a stringified JSON object. Create a new address in Route4Me
Delete an address
Get an address by ID
List addresses from your Route4Me address book
Get an optimization history
Get a route by ID
List existing vehicle routes
List associated users/drivers
List registered vehicles
Update an existing address
Why Google ADK?
Google ADK natively supports Route4Me as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Route4Me
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Route4Me tools with BigQuery, Vertex AI, and Cloud Functions
Route4Me in Google ADK
Route4Me and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Route4Me 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Route4Me in Google ADK
The Route4Me 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 10 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.

* 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
How Vinkius secures
Route4Me for Google ADK
Every tool call from Google ADK to the Route4Me MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can the agent trigger a new algorithm calculation?
Currently, the agent is restricted to retrieving existing optimization histories and reading paths to ensure API limits are protected. Address book creations are however supported.
Is the API key secure across requests?
Yes. The API key is securely appended to standard HTTPS queries locally during execution time.
What addresses are retrieved from the book?
The tool fetches the most recent addresses but allows passing a dynamic parameter to iterate through larger chunks of your system.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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