MCP Server
MCP
Literature Review Council
Multi-agent literature review: research, peer review, and synthesize grounded reports.
Install
uvx lit-review-council
Configuration Example
{
"remotes": [],
"packages": [
{
"registryType": "pypi",
"identifier": "lit-review-council",
"version": "0.1.4",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"runtimeArguments": [
{
"value": "lit-review-council",
"type": "positional",
"valueHint": "package"
}
],
"environmentVariables": [
{
"description": "OpenRouter API key for LLM access",
"isRequired": true,
"isSecret": true,
"name": "OPENROUTER_API_KEY"
},
{
"description": "GitHub personal access token for practitioner track searches",
"isRequired": true,
"isSecret": true,
"name": "GITHUB_TOKEN"
},
{
"description": "Tavily API key for web search",
"isRequired": true,
"isSecret": true,
"name": "TAVILY_API_KEY"
},
{
"description": "OpenAlex API key for academic search",
"name": "OPENALEX_API_KEY"
},
{
"description": "Model for engineer agents (default: openrouter/moonshotai/kimi-k2.6)",
"name": "ENG_MODEL"
},
{
"description": "Model for research agents (default: openrouter/z-ai/glm-5.1)",
"name": "RESEARCH_MODEL"
},
{
"description": "Model for reviewer/synthesis agents (default: openrouter/deepseek/deepseek-v4-pro)",
"name": "JUDGE_MODEL"
}
]
}
]
}
mcp
model-context-protocol
pypi
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