mcp-labrat

An MCP server that enables interaction with CalDAV calendars to manage events and check availability through natural language or voice commands. It provides specific tools for listing, searching, and creating calendar entries using an OpenAI-compatible interface.

→ hussainkazemian/mcp · listed on glama

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Glama

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// key findings

⚠️

Known vulnerabilities in dependencies: 4 high

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

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: CALDAV_PASSWORD

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

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

🔐 secretCALDAV_PASSWORD— (optional, default: password)

configCALDAV_SERVER_URL— (optional, default: http://localhost:5232/)

configCALDAV_USERNAME— (optional, default: username)

configMCP_SERVER_URL— (required)

configOPENAI_MODEL— (optional, default: gpt-4o)

configOPENAI_PROXY_URL— In this lab, typically points to a proxy service (not OpenAI directly). The proxy is responsible for adding any required authentication (e.g. API keys) to outgoing requests.

configOPENAI_TRANSCRIPTION_MODEL— (optional, default: whisper-1)

configOPENAI_TTS_MODEL

configPORT— (optional, default: 3000)

// 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 5 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/hussainkazemian-mcp-1huk3t)](https://m8ven.ai/mcp/hussainkazemian-mcp-1huk3t)

commit: 8d0151745497df5e67e0f1cbd77b6df4e0c9c234

code hash: f3cef4b7c323aab3ee707d6f564776461fb9d0c4bf6c23d96ddb4d1e60c2bde2

verified: 4/11/2026, 3:13:53 PM

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