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Google ADKSDK
Google ADK
Nanoid Generator MCP Server

Bring Unique Id
to Google ADK

Learn how to connect Nanoid Generator 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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Generate Nanoid

Compatible with every major AI agent and IDE

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JetBrainsJetBrains
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+ other MCP clients
Nanoid Generator

What is the Nanoid Generator MCP Server?

UUIDs are 36 characters. That's 36 characters in every URL, every database row, every API response, every log line. Nanoid gives you the same collision resistance in just 21 characters — URL-safe, no encoding needed, and cryptographically secure.

With 40M+ weekly downloads, nanoid is the ID generator behind Supabase, Vite, and PostCSS. This MCP lets any agent generate production-grade IDs without hallucinating random strings.

The Superpowers

  • 21 Characters = Same Security as UUID: The math proves it — ~1 billion years to have a 1% collision probability at 1,000 IDs/hour.
  • URL-Safe by Default: A-Za-z0-9_- — no percent-encoding, no base64 headaches.
  • Custom Alphabet: Need numeric-only IDs for order numbers? Hex-only for tokens? Pass any character set.
  • Cryptographic: Uses crypto.getRandomValues() — the same API used for encryption keys.

Built-in capabilities (1)

generate_nanoid

Default size is 21 characters with collision probability of ~1 billion years at 1000 IDs/hour. For custom alphabets, pass an alphabet string (e.g. "0123456789" for numeric IDs). Nanoid uses crypto.getRandomValues() for security. Generates unique URL-safe IDs using nanoid. 2x faster than UUID, 118 bytes. Custom alphabet support

Why Google ADK?

Google ADK natively supports Nanoid Generator 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 Nanoid Generator

  • 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 Nanoid Generator tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

Nanoid Generator in Google ADK

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

Nanoid Generator and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Nanoid Generator 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 Nanoid Generator in Google ADK

The Nanoid Generator 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.

Nanoid Generator
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 Nanoid Generator for Google ADK

Every tool call from Google ADK to the Nanoid Generator 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

Why should I use nanoid instead of UUID?

Nanoid is 40% shorter (21 vs 36 chars), 2x faster, URL-safe without encoding, and has equivalent collision resistance. UUID still wins for enterprise systems that mandate RFC 9562 compliance.

02

Can I generate IDs with only numbers for order codes?

Yes. Set alphabet to '0123456789' and size to 8 for an 8-digit numeric order code like '47829163'. Works with any character set you define.

03

Is it safe to use as a secret token or API key?

Yes. Nanoid uses crypto.getRandomValues() — the same cryptographic PRNG used for TLS keys and encryption. Increase the size to 32+ characters for high-security tokens.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk

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