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grok-quorum-mcp MCP Server

flycory/grok-quorum-mcp

Score: 53.3 Rank #49 Agent Framework
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MCP server that lets Claude query Grok as a quorum peer for architecture debates, code review, and multi-agent reasoning

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Overview

flycory/grok-quorum-mcp is a JavaScript MCP server licensed under MIT. MCP server that lets Claude query Grok as a quorum peer for architecture debates, code review, and multi-agent reasoning

Ranked #49 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

JavaScript MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

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Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"mcp server""mcp-server"

From the README

# grok-quorum-mcp

An [MCP](https://modelcontextprotocol.io/) server that lets **Claude query Grok** as a quorum peer — enabling two AI systems to debate architecture, review code, and reason together before presenting solutions to the user.

## Why a Quorum?

Single-AI workflows have blind spots. When Claude can consult Grok as an equal peer, you get:

- **Stronger code review** — Two AI perspectives catch more bugs than one
- **Better architecture** — Claude proposes, Grok challenges (or vice versa), you decide
- **Live research** — Grok searches the web and X/Twitter in real-time for current information
- **Cost control** — Four modes from cheap quick answers to expensive deep multi-agent analysis

## Privacy & Security

- Runs **100% locally** — no telemetry, no analytics, no data collection
- Your API key never leaves your machine except in direct calls to `api.x.ai`
- Conversation history is in-memory only, cleared when the process exits
- You supply your own xAI API key — we nev
Read full README on GitHub →

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