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Vinkius

Conventional Commit Linter MCP, Ready to Go

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Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Conventional Commit Linter MCP Server?

633ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 9 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 443ms
Average 633ms
Max 721ms
Trend (improving) ↓ 7%
Daily latency
674ms 7/15/2026
674ms 7/16/2026
494ms 7/17/2026
721ms 7/18/2026
716ms 7/19/2026
688ms 7/20/2026
617ms 7/21/2026
525ms 7/22/2026
443ms 7/23/2026
7/15/2026 7/23/2026

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AI Agent

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,800+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Frequently Asked Questions

How does the linter validate a commit? +

It analyzes the message structure using verify_commit_structure to check for type, scope, and description. Tools available: your_tool_name.

Can it identify breaking changes? +

Yes, analyze_breaking_change_presence detects exclamation marks or BREAKING CHANGE footers.

How is the version impact determined? +

The classify_release_impact tool calculates if the change requires a major, minor, or patch update.

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