# JeremyGracey-AI/llm-council-mcp

Source: https://glimind.com/server/github%2Fjeremygracey-ai%2Fllm-council-mcp
Registry id: `github/jeremygracey-ai/llm-council-mcp`
Status: unknown

## Tools (4)

- `council_config`: Shows the active roster, chairman, and whether the API key is set.
- `council_deliberate`: Full 3-stage council on a hard question. Returns a markdown report (or format='json'). Optional models/chairman_model overrides, and html_path to also write a s
- `council_deliberate_streaming`: Same as council_deliberate but emits live MCP progress + log events as each stage completes (dispatch → peer review → chairman). Also supports html_path.
- `council_jury`: Fast go/no-go: each model gives VERDICT: YES/NO, returns a vote tally + chairman synthesis.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.