SemVer Version Manager MCP Server for Google ADKGive Google ADK instant access to 2 tools to Check Semver Compatibility and Sort Semver List

Name: SemVer Version Manager
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add SemVer Version Manager as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The SemVer Version Manager MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="semver_version_manager_agent",
    instruction=(
        "You help users interact with SemVer Version Manager "
        "using 2 available tools."
    ),
    tools=[mcp_tools],
)

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About SemVer Version Manager MCP Server

LLMs hallucinate software versions. They constantly fail to evaluate complex semantic version boundaries (like `>=1.4.0

Google ADK natively supports SemVer Version Manager as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The SemVer Version Manager MCP Server exposes 2 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 SemVer Version Manager tools available for Google ADK

When Google ADK connects to SemVer Version Manager through Vinkius, your AI agent gets direct access to every tool listed below — spanning semantic-versioning, dependency-management, software-lifecycle, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check semver compatibility on SemVer Version Manager

Checks if a specific version satisfies a SemVer range (e.g. ^1.4.2)

sort

Sort semver list on SemVer Version Manager

Pass both versions and receive the comparison result (greater, lesser, equal). Essential for dependency resolution. Sorts a JSON array of version strings correctly following semantic versioning rules

Connect SemVer Version Manager to Google ADK via MCP

Follow these steps to wire SemVer Version Manager into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 2 tools from SemVer Version Manager via MCP

Why Use Google ADK with the SemVer Version Manager MCP Server

Google ADK provides unique advantages when paired with SemVer Version Manager through the Model Context Protocol.

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 SemVer Version Manager

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 SemVer Version Manager tools with BigQuery, Vertex AI, and Cloud Functions

SemVer Version Manager + Google ADK Use Cases

Practical scenarios where Google ADK combined with the SemVer Version Manager MCP Server delivers measurable value.

Enterprise data agents: ADK agents query SemVer Version Manager and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine SemVer Version Manager tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query SemVer Version Manager regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including SemVer Version Manager

Example Prompts for SemVer Version Manager in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with SemVer Version Manager immediately.

"Verify deterministically if version `2.4.1` satisfies the peer dependency range `^2.0.0`."

"Sort this array of 12 release tags (including `-rc.1` and `-beta`) in descending order."

"What is the result of applying a 'minor' bump to version `1.4.3-alpha`?"

Troubleshooting SemVer Version Manager MCP Server with Google ADK

Common issues when connecting SemVer Version Manager to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

SemVer Version Manager + Google ADK FAQ

Common questions about integrating SemVer Version Manager MCP Server with Google ADK.

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.