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Ultimate Debate MCP Server

A Model Context Protocol (MCP) server that enables Claude + GPT adversarial collaboration. GPT-5.2 automatically critiques, debates, and verifies Claude's work for higher-quality outputs.

Features

  • gpt_critique - Single-pass adversarial critique of code, plans, or text

  • gpt_verify - Verify that fixes actually resolve identified issues

  • debate - Multi-round debate loop between Claude and GPT

Related MCP server: Claude-Gemini MCP Integration Server

Requirements

  • Node.js >= 20.0.0

  • OpenAI API key with GPT-5.2 access

  • Claude Code CLI

Installation

1. Clone and Build

git clone https://github.com/YOUR_USERNAME/ultimate-debate-mcp.git
cd ultimate-debate-mcp
npm install
npm run build

2. Install Globally in Claude Code

# Add the MCP server globally (works in any folder)
claude mcp add ultimate-debate --scope user -- node /path/to/ultimate-debate-mcp/dist/index.js

3. Configure Environment Variables

Edit your ~/.claude.json and find the mcpServers section at the root level. Add your OpenAI API key:

{
  "mcpServers": {
    "ultimate-debate": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/ultimate-debate-mcp/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "sk-your-openai-api-key",
        "OPENAI_MODEL": "gpt-5.2",
        "RATE_LIMIT_RPM": "100",
        "RATE_LIMIT_RPH": "1000",
        "CACHE_MAX_SIZE": "100",
        "CACHE_TTL_MS": "3600000"
      }
    }
  }
}

4. Restart Claude Code

Close and reopen Claude Code. Verify installation:

/mcp

You should see ultimate-debate listed with 3 tools.

Configuration Options

Variable

Default

Description

OPENAI_API_KEY

required

Your OpenAI API key

OPENAI_MODEL

gpt-5.2

Model to use (gpt-5.2, gpt-4o, etc.)

RATE_LIMIT_RPM

100

Max requests per minute

RATE_LIMIT_RPH

1000

Max requests per hour

CACHE_MAX_SIZE

100

Max cached responses

CACHE_TTL_MS

3600000

Cache TTL (1 hour)

Auto-Collaboration Setup

To make Claude automatically use GPT review, add these rules to your global ~/.claude/CLAUDE.md:

# Auto-Collaboration Rules

When the `ultimate-debate` MCP server is available, automatically:

1. **Before implementation** (>20 lines): Call `gpt_critique` on the plan
2. **After implementation**: Call `gpt_critique` on the code
3. **After fixing issues**: Call `gpt_verify` to confirm resolution
4. **For architecture decisions**: Call `debate` with 2 rounds

## Decision Criteria

| Change Type | Action |
|-------------|--------|
| New feature | `debate` (2 rounds) |
| Bug fix | `gpt_critique` + `gpt_verify` |
| Refactor | `gpt_critique` |
| Trivial (<10 lines) | Skip review |

## Skip Review

Say "skip review" or "no gpt" to bypass auto-collaboration.

Usage Examples

Manual Critique

Ask Claude to review code:

Critique this authentication code for security issues

Manual Debate

For architecture decisions:

Debate whether we should use Redis or PostgreSQL for session storage

Manual Verify

After fixing issues:

Verify the SQL injection fix is complete

MCP Tools Reference

gpt_critique

Single-pass adversarial critique.

Parameters:

  • content (required) - The content to critique

  • context (optional) - Additional context

  • focus_areas (optional) - Array of: logic, security, performance, edge_cases, assumptions, completeness

Returns: Issues with severity (critical/high/medium/low), category, and suggestions.

gpt_verify

Verify fixes are resolved.

Parameters:

  • original (required) - Original content before fix

  • revised (required) - Revised content after fix

  • issues_to_check (required) - Array of issues to verify

Returns: Lists of verified, unresolved, and new issues.

debate

Multi-round debate loop.

Parameters:

  • goal (required) - The objective to debate

  • context (optional) - Additional context

  • artifacts (optional) - Code, diffs, specs, logs

  • rounds (default: 2) - Number of debate rounds (1-5)

  • confidence_threshold (default: 0.8) - Stop early if confidence reached

  • budget (optional) - Token and cost limits

Returns: Critical issues, resolved issues, suggested patches, test recommendations.

Development

npm install      # Install dependencies
npm run build    # Build for production
npm run dev      # Development mode with hot reload
npm run test     # Run tests
npm run lint     # Run linter

License

MIT

Available Tools

3 tools
debateA

Runs a full multi-round debate loop where ChatGPT critiques content and suggests revisions. Returns structured issues, patches, and test recommendations.

Inputs: goal (required), budget, rounds, context, +2 more.

gpt_critiqueB

Single-pass adversarial critique of content using ChatGPT. Identifies logical gaps, edge cases, security issues, and incorrect assumptions.

Inputs: content (required), context, focus_areas.

gpt_verifyA

Strict verification that previously identified issues have been resolved in revised content. Also detects any new issues introduced.

Inputs: revised (required), original (required), issues_to_check (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.8/5.0

    Scored across 3 tools

    Disambiguation4/5

    gpt_critique and debate both involve critique, so there is some boundary overlap, but the descriptions clearly separate single-pass critique from a full multi-round debate loop. gpt_verify is distinctly focused on checking whether prior issues were resolved, making misselection unlikely.

    Naming Consistency4/5

    Two tools follow a gpt_<verb> pattern (gpt_critique, gpt_verify), while debate breaks the prefix pattern but still uses a single clear lowercase verb/noun. The naming is generally consistent and readable, with only the missing prefix creating minor inconsistency.

    Tool Count5/5

    Three tools is a tight, well-scoped set for a debate-focused server. Each tool covers a distinct mode—single critique, verification of revisions, and full multi-round debate—so none feel redundant or unnecessary.

    Completeness5/5

    The surface covers the core debate workflow: critique content, run a full debate loop with revisions and patch suggestions, and verify that issues are resolved. There are no obvious dead ends for an agent trying to critique, revise, and validate content.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

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