Semantic Version Constraint Solver Connector for AI agents.
3 live capabilities
Resolve complex dependency ranges and validate release versions.
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Why people use Semantic Version Constraint Solver
Stop manual dependency checking with Semantic Version Constraint Solver
With this MCP, the task becomes automated. Your agent performs the comparison instantly, providing you with a clean list of compatible versions so you can move on to more important tasks.
What Vinkius changes
You stop guessing which versions satisfy your constraints.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Checking for breaking changes
An engineer asks the agent to find all versions in a list that satisfy a specific range, and the agent returns the exact matches.
- Real-world use case 02
Validating new tags
A developer wants to ensure a newly created tag follows SemVer standards; the agent confirms it is valid.
- Real-world use case 03
Parsing complex constraints
During a dependency audit, the agent explains exactly what each part of a messy constraint string means.
Complete set · 3capabilities
The complete Semantic Version Constraint Solver capability set.
These are the exact actions your AI can choose when you ask it to work with Semantic Version Constraint Solver.
01—03
3 capabilities in this set.
Part of 3 available through Semantic Version Constraint Solver.
- 01 Capability
Decompose constraint logic
Breaks a complex constraint string into its logical components. It helps your agent understand the individual predicates within a range.
- 02 Capability
Solve semver range
Resolves a SemVer range against a list of available versions. This finds the specific releases that satisfy your requirements.
- 03 Capability
Verify version format
Validates if a version string follows the SemVer format. It ensures you are not passing invalid syntax to your deployment scripts.
Set up in minutes
One URL. Then ask Semantic Version Constraint Solver to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Semantic Version Constraint Solver from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Semantic Version Constraint Solver, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Semantic Version Constraint Solver for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Semantic Version Constraint Solver URL.
- Step 03
Save and start
Save the connection and enable Semantic Version Constraint Solver in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-version-constraint-solver": {
"url": "https://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Semantic Version Constraint Solver
Open Agent mode in chat and ask: "Using Semantic Version Constraint Solver, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-version-constraint-solver": {
"url": "https://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Semantic Version Constraint Solver
Ask Copilot: "Using Semantic Version Constraint Solver, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-version-constraint-solver": {
"url": "https://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Semantic Version Constraint Solver
Open Cascade and ask: "Using Semantic Version Constraint Solver, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"semantic-version-constraint-solver": {
"url": "https://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Semantic Version Constraint Solver
Ask Cline: "Using Semantic Version Constraint Solver, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add semantic-version-constraint-solver --transport http "https://edge.vinkius.com/vk_preview_74b0b5nSn9JfDE6dSaJxLPWPYmIkWlddRn8Rxhmf/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Semantic Version Constraint Solver
Ask Claude: "Using Semantic Version Constraint Solver, show me...". 3 tools are ready
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Semantic Version Compatibility Checker
Verify if a target version satisfies semver constraints and identify breaking changes.
SemVer Compatibility Checker
Verify if a target version satisfies a semantic versioning constraint and detect breaking changes.
SemVer Calculator
Validate, compare, and manipulate Semantic Versioning 2.0.0 strings.
Conventional Commit Linter
Validate commit messages against Conventional Commates spec and determine SemVer impact.
SemVer Version Manager
Stop LLMs from guessing software versions. Deterministically evaluate semantic version bounds, compatibilities, and sort releases perfectly.
Dependency Version Conflict Detector
Identify and resolve versioning incompatibilities within dependency trees.
Bring your own AI
Change the model, client or framework. Keep Semantic Version Constraint Solver connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
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Before you connect
Questions about Semantic Version Constraint Solver.
The practical details behind the request, access and result.
How can Semantic Version Constraint Solver help with dependency management?
It automates the process of finding which specific releases in your registry satisfy your required version ranges, removing the need for manual checks.
Can I use Semantic Version Constraint Solver to check if a version is valid?
Yes. You can provide any version string to your agent, and it will confirm whether the syntax follows standard SemVer rules.
Does Semantic Version Constraint Solver work with complex ranges like OR logic?
Absolutely. It can parse and resolve ranges that include complex logical operators like OR (||) or AND conditions.
How do I automate my CI/CD pipeline with Semantic Version Constraint Solver?
You simply point your agent to your version registry and ask it to find compatible versions for your deployment scripts using this MCP.
Will Semantic Version Constraint Solver prevent breaking changes in my builds?
It helps by ensuring that only versions within your specified safe ranges are selected for use, preventing the accidental adoption of incompatible releases.
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.
One connection away
Give your agent a direct line to Semantic Version Constraint Solver.
Connect Semantic Version Constraint Solver once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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