Sibyl

AI-powered deep research agent with multi-source search (DuckDuckGo, Google News, Reddit, Wikipedia), structured analysis (SWOT, comparisons, timelines, Google Trends), financial data with charts, and PDF report generation. 11 MCP tools. Multi-LLM support (DeepSeek, Gemini, GLM, OpenAI).

→ chriswu727/sibyl · listed on glama

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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 1 credential: SIBYL_API_KEY

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.

configSIBYL_CONFIG

configSIBYL_MODEL

🔐 secretSIBYL_API_KEY

configSIBYL_API_BASE

// 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 4 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/chriswu727-sibyl-dwh87k)](https://m8ven.ai/mcp/chriswu727-sibyl-dwh87k)

commit: 08e125d6f0915af6a501f7e345f8fc72178f3d3e

code hash: 66feb50e005f5244c08474067ef5049865ad843939f9b033115e9a979a1ab96d

verified: 6/17/2026, 12:01:59 PM

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