What does this MCP actually do?

It allows your AI client to solve Semantic Versioning (SemVer) constraints. It can resolve ranges, validate formats, and break down complex version logic.

Which AI clients can use this?

Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this capability once connected via Vinkius.

How does it help with DevOps?

It automates the process of checking if a specific version meets the requirements of a deployment or dependency, reducing the risk of breaking changes.

Do I need to host this myself?

No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

Can it handle complex logical operators?

Yes. It can handle complex ranges using operators like OR (||) and comparison operators like >= or <.

What does solve_semver_range do?

It takes a constraint string and an array of versions, then returns the highest satisfying version and all matching versions.

How can I check if a version is valid?

Use the verify_version_format capability to validate that a string follows the standard digit-dot-digit SemVer pattern.

Can I see how a complex range is parsed?

Yes, the decompose_constraint_logic capability breaks down a constraint string into its individual logical groups and predicates.

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Connect Semantic Version Constraint Solver to your AI

Q: What does solve_semver_range do?

It takes a constraint string and an array of versions, then returns the highest satisfying version and all matching versions.

Q: How can I check if a version is valid?

Use the verify_version_format capability to validate that a string follows the standard digit-dot-digit SemVer pattern.

Q: Can I see how a complex range is parsed?

Yes, the decompose_constraint_logic capability breaks down a constraint string into its individual logical groups and predicates.

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Resolve complex version ranges for reliable deployments.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Semantic Version Constraint Solver.

01
Decompose constraint logic
This capability breaks a complex constraint string into its individual logical components. It's useful when your agent needs to understand the specific predicates within a range.
02
Solve semver range
This capability resolves a specific SemVer range against a provided list of available versions. It identifies which versions satisfy the given constraints.
03
Verify version format
This capability checks if a version string follows the official Semantic Versioning standards. It ensures the input is syntactically correct before you attempt to process it.

Real work

What teams actually run

CI/CD Automation

Your agent checks if a new build satisfies all version constraints before proceeding with a deployment.

Dependency Management

The AI identifies the highest compatible version of a library from a remote repository.

Release Validation

Verify that a set of proposed releases fits within the allowed versioning boundaries.

Automated Testing

Use the capability to programmatically select version combinations for compatibility testing.

One connector, every AI

Semantic Version Constraint Solver works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Semantic Version Constraint Solver to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

715ms average. Fast in production.

Semantic Version Constraint Solver is checked daily against the live service.

Daily averagePeak 853ms

Oct 3Today

Fastest day: 561ms
Slowest day: 853ms
14-day trend: Improving-8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Semantic Version Constraint Solver, so you can see the experience inside your AI.

It does not authenticate your account with Semantic Version Constraint Solver. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Semantic Version Constraint Solver Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Semantic Version Constraint Solver capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "semantic-version-constraint-solver-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Semantic Version Constraint Solver in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Semantic Version Constraint Solver owners hand off.

This MCP is built for engineers managing software lifecycles and automated deployment pipelines.

01
DevOps Engineers
They hand off dependency validation and version checking to the agent.
02
Release Engineers
They use the capability to ensure deployment compatibility across different environments.
03
SREs
They automate the verification of version constraints during incident response or scaling.

FAQ

Questions Semantic Version Constraint Solver owners ask.

01
What does this MCP actually do?
It allows your AI client to solve Semantic Versioning (SemVer) constraints. It can resolve ranges, validate formats, and break down complex version logic.
02
Which AI clients can use this?
Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this capability once connected via Vinkius.
03
How does it help with DevOps?
It automates the process of checking if a specific version meets the requirements of a deployment or dependency, reducing the risk of breaking changes.
04
Do I need to host this myself?
No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
05
Can it handle complex logical operators?
Yes. It can handle complex ranges using operators like OR (||) and comparison operators like >= or <.
06
What does solve_semver_range do?
It takes a constraint string and an array of versions, then returns the highest satisfying version and all matching versions.
07
How can I check if a version is valid?
Use the verify_version_format capability to validate that a string follows the standard digit-dot-digit SemVer pattern.
08
Can I see how a complex range is parsed?
Yes, the decompose_constraint_logic capability breaks down a constraint string into its individual logical groups and predicates.

Explore

More in Automation

Connect Semantic Version Constraint Solver to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Decompose constraint logic

Solve semver range

Verify version format

What teams actually run

CI/CD Automation

Dependency Management

Release Validation

Automated Testing

Building your own app? The connector is yours to use.

Semantic Version Constraint Solver Connector

Claude Desktop

DevOps Engineers

Release Engineers

SREs

What does this MCP actually do?

Which AI clients can use this?

How does it help with DevOps?

Do I need to host this myself?

Can it handle complex logical operators?

What does solve_semver_range do?

How can I check if a version is valid?

Can I see how a complex range is parsed?

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