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Google ADKSDK
Google ADK
IP Address Parser MCP Server

Bring Ipv4
to Google ADK

Learn how to connect IP Address Parser 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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Parse Ip Address

Compatible with every major AI agent and IDE

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ChatGPTChatGPT
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GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
IP Address Parser

What is the IP Address Parser MCP Server?

A security agent receives the IP 10.0.14.7 and needs to know: is this a private address? Can it reach the internet? What CIDR block does it belong to? Ask an AI and you'll get a confident but often wrong answer.

This MCP uses ipaddr.js (30M+ weekly downloads) — the exact same library that Express.js, Koa, and Fastify use to parse IP addresses in production. Every classification follows RFC 5735 and RFC 4291.

The Superpowers

  • Range Classification: Instantly know if an IP is unicast, private, loopback, multicast, linkLocal, or unspecified — no RFC memorization needed.
  • CIDR Parsing: Pass 10.0.0.0/8 and get the network address, prefix length, and address kind.
  • Dual Stack: Full IPv4 and IPv6 support with automatic format detection.
  • IPv4↔IPv6 Conversion: Convert 192.168.1.1 to its IPv4-mapped IPv6 representation ::ffff:192.168.1.1 and back.

Built-in capabilities (1)

parse_ip_address

The engine uses ipaddr.js (30M+ downloads) which is the standard IP parsing library used by Express.js and Koa. Validates and parses IPv4/IPv6 addresses. Supports CIDR notation, range detection, and IPv4↔IPv6 conversion

Why Google ADK?

Google ADK natively supports IP Address Parser 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 IP Address Parser

  • 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 IP Address Parser tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

IP Address Parser in Google ADK

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

IP Address Parser and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect IP Address Parser 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 IP Address Parser in Google ADK

The IP Address Parser 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.

IP Address Parser
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 IP Address Parser for Google ADK

Every tool call from Google ADK to the IP Address Parser 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

How does it know if an IP is private or public?

It follows the IANA reserved ranges defined in RFC 5735 (IPv4) and RFC 4291 (IPv6). 10.x.x.x, 172.16-31.x.x, and 192.168.x.x are classified as 'private'. 127.x.x.x as 'loopback'. Everything else as 'unicast' (public).

02

Can I check if an IP belongs to a specific CIDR range?

Yes. Pass the CIDR notation like '10.0.0.0/8' and the engine returns the network address, prefix length, and address kind. Parse both the IP and the CIDR to compare.

03

Does it work with IPv6 addresses?

Yes. Full IPv6 support including compressed notation (::1), IPv4-mapped (::ffff:192.168.1.1), and all RFC 4291 scoped addresses.

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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