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13 days ago

zen-mcp-server

Zen MCP server with advanced AI collaboration features

→ jray2123/zen-mcp-server· listed on github_code

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

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Who stands behind it

jray2123

Source: github_code · also listed on Glama

Is this your MCP?

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 6 credentials: GEMINI_API_KEY, OPENAI_API_KEY, XAI_API_KEY, DIAL_API_KEY, OPENROUTER_API_KEY, CUSTOM_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configLOG_LEVEL
configDISABLED_TOOLS
🔐 secretGEMINI_API_KEY=your-gemini-api-key-here # For Gemini models
🔐 secretOPENAI_API_KEY"": "your_api_key_here"
🔐 secretXAI_API_KEY
🔐 secretDIAL_API_KEY=your-dial-api-key-here # For DIAL platform
🔐 secretOPENROUTER_API_KEY=your-openrouter-key # For OpenRouter (see docs/custom_models.md)
configCUSTOM_API_URL=http://localhost:11434/v1 # Ollama example
🔐 secretCUSTOM_API_KEY= # Empty for Ollama
configCUSTOM_MODEL_NAME=llama3.2 # Default model
configLOCALE
configDEFAULT_MODELAuto Mode: When =auto, Claude automatically picks the best model for each task. You can override with: "Use flash for quick analysis" or "Use o3 to debug this".
configDEFAULT_THINKING_MODE_THINKDEEP
configMAX_MCP_OUTPUT_TOKENS
configDIAL_API_HOST=https://core.dialx.ai # Default DIAL host (optional)
configDIAL_API_VERSION=2024-12-01-preview # API version (optional)
configCUSTOM_CONNECT_TIMEOUT
configCUSTOM_READ_TIMEOUT
configCUSTOM_WRITE_TIMEOUT
configCUSTOM_POOL_TIMEOUT
configOPENROUTER_REFERER
configOPENROUTER_TITLE
configCUSTOM_MODELS_CONFIG_PATH
configMAX_CONVERSATION_TURNS
configCONVERSATION_TIMEOUT_HOURS
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

21/21 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); dynamic_tool_600 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +18 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 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/jray2123-zen-mcp-server-1xnxef)](https://m8ven.ai/mcp/jray2123-zen-mcp-server-1xnxef)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 26170efa6556f4bbfca001a666e55aed2e1fb683
code hash: 5c6b71f8e7897255d5b7c02d57cb97f1e309f6556117ded7d6272741d20d7fd5
verified: 8/8/2026, 8:20:41 AM
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