# Literature Review Council MCP server

Multi-agent literature review: research, peer review, and synthesize grounded reports.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-ravicha2-lit-review-council
- Repository: https://github.com/Ravicha2/lit-review-council

## Install
- Command: `uvx lit-review-council`
- Auth: Auth required by registry metadata

## Setup notes
- Package: Pypi lit-review-council v0.1.4
- Environment variable: OPENROUTER_API_KEY (required; secret)
- Environment variable: GITHUB_TOKEN (required; secret)
- Environment variable: TAVILY_API_KEY (required; secret)
- Environment variable: OPENALEX_API_KEY
- Environment variable: ENG_MODEL
- Environment variable: RESEARCH_MODEL
- Environment variable: JUDGE_MODEL
- The upstream registry signals required auth or secrets.

## Tools
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## Resources
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## Prompts
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## Metadata
- Owner: io.github.Ravicha2
- Version: 0.1.4
- Runtime: Pypi
- Transports: STDIO
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 22, 2026
- Source: https://registry.modelcontextprotocol.io