SpecLinter MCP

An AI-powered tool that transforms natural language specifications into structured, actionable development tasks with quality grading and Gherkin test scenarios. It also features semantic similarity detection to prevent duplicate work and validates implementations against original requirements.

→ orangebread/speclinter-mcp · listed on glama

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// key findings

🚨

Known vulnerabilities in dependencies: 3 critical, 7 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

⚠️

Tests do not pass

Either the test suite is broken or the code regressed. Either way the published behaviour can’t be verified by the publisher’s own tests.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configSPECLINTER_PROJECT_ROOT

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 9 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/orangebread-speclinter-mcp-12fjbf)](https://m8ven.ai/mcp/orangebread-speclinter-mcp-12fjbf)

commit: 3372ef302060eb27ce0dbb1b8786883469558191

code hash: ae2d9b9cda2486b0cbe42bc3500f3f6fd79e7b7917f8f5e5f9a34509bb131b66

verified: 6/13/2026, 10:54:37 AM

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