Ravicha2/lit-review-council

Item: Ravicha2/lit-review-council
Rating: 69
Author: M8ven

A multi-agent literature review pipeline that uses specialized agents to research, peer-review, and synthesize academic and practitioner perspectives into grounded reports.

→ Ravicha2/lit-review-council · 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.

🔐

You'll be asked for 4 credentials: OPENROUTER_API_KEY, GITHUB_TOKEN, TAVILY_API_KEY, OPENALEX_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.

configNO_COLOR

configLITELLM_LOG

🔐 secretOPENROUTER_API_KEY— e =sk-or-your-key \

configENG_MODEL— Model for engineer agents No (default: openrouter/moonshotai/kimi-k2.6)

configRESEARCH_MODEL— Model for research agents No (default: openrouter/z-ai/glm-5.1)

configJUDGE_MODEL— Model for reviewers & synthesis No (default: openrouter/deepseek/deepseek-v4-pro)

configMAX_SOURCES

🔐 secretGITHUB_TOKEN— e =ghp_your-token \

🔐 secretTAVILY_API_KEY— e =tvly_your-key \

🔐 secretOPENALEX_API_KEY— "": "your-key"

// 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/ravicha2-lit-review-council-1wd0bs)](https://m8ven.ai/mcp/ravicha2-lit-review-council-1wd0bs)

commit: 40c4c19711067bd182a6465184585697e5723403

code hash: a8b31e0cf37ec51dccfd71ce328877d292868c6f22047a5b4fc867ae44b67394

verified: 7/30/2026, 7:58:57 PM

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