mcp-toolz 0.6.0

Get feedback from ChatGPT, Gemini, and DeepSeek via MCP tools

MCP Toolz

mcp-name: io.github.taylorleese/mcp-toolz

MCP server for Claude Code that provides multi-LLM feedback tools.

Features

• Multi-LLM Feedback: Get second opinions from ChatGPT (OpenAI), Gemini (Google), and DeepSeek
• MCP Integration: Works with Claude Code via the Model Context Protocol

Quick Start

Installation

From PyPI (Recommended)

pip install mcp-toolz

From Source (Development)

# Clone the repository
git clone https://github.com/taylorleese/mcp-toolz.git
cd mcp-toolz

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate  # macOS/Linux
# or: venv\Scripts\activate  # Windows

# Install in editable mode with dev dependencies
pip install -e ".[dev]"

Configuration

# Set your API keys as environment variables (at least one required for AI feedback tools)
export OPENAI_API_KEY=sk-...           # For ChatGPT
export GOOGLE_API_KEY=...              # For Gemini
export DEEPSEEK_API_KEY=sk-...         # For DeepSeek

# Or create a .env file (if installing from source)
cp .env.example .env
# Edit .env and add your API keys

MCP Server Setup

Add to your Claude Code MCP settings:

If installed via pip:

{
  "mcpServers": {
    "mcp-toolz": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "env": {
        "OPENAI_API_KEY": "sk-...",
        "GOOGLE_API_KEY": "...",
        "DEEPSEEK_API_KEY": "sk-..."
      }
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "mcp-toolz": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/absolute/path/to/mcp-toolz",
      "env": {
        "PYTHONPATH": "/absolute/path/to/mcp-toolz/src"
      }
    }
  }
}

Restart Claude Code to load the MCP server.

MCP Server Tools

AI Feedback Tools

Get second opinions from multiple LLMs on code, architecture decisions, and implementation plans:

• ask_chatgpt - Get ChatGPT's analysis (supports custom questions)
• ask_gemini - Get Gemini's analysis (supports custom questions)
• ask_deepseek - Get DeepSeek's analysis (supports custom questions)

Claude Code plugins

This repo doubles as a Claude Code plugin marketplace. Install all four with:

/plugin marketplace add taylorleese/mcp-toolz
/plugin install mcp-toolz-server@mcp-toolz
/plugin install precommit-detect@mcp-toolz
/plugin install revise-all-docs@mcp-toolz
/plugin install resolve-github-alerts@mcp-toolz

mcp-toolz-server

Installs the mcp-toolz MCP server in Claude Code without manual editing of ~/.claude.json. Once installed, the three tools (ask_chatgpt, ask_gemini, ask_deepseek) are available to the model in any Claude Code session. The plugin runs the server via uvx --from mcp-toolz python -m mcp_server, so PyPI is still the underlying distribution channel — this is purely an installation-ergonomics layer for Claude Code users.

Required env vars (set in your shell or via direnv/.envrc): OPENAI_API_KEY, GOOGLE_API_KEY, DEEPSEEK_API_KEY. Each is independently optional — the corresponding tool just returns an error if its key is unset.

For Cursor / Zed / Claude Desktop users: keep configuring the MCP server manually via your client's standard mechanism. Claude Code plugins don't propagate to other clients.

precommit-detect

Read-only check for pre-commit setup state. Registers SessionStart and PostToolUse:EnterWorktree hooks that detect whether the current repo's .pre-commit-config.yaml is wired up — pre-commit binary present, .git/hooks/pre-commit installed, Docker daemon reachable when the config requires it. When something is missing, the hook surfaces the gap as additionalContext so Claude can walk you through approval-gated installs (one prompt per missing item — never auto-installs).

revise-all-docs

Provides the /revise-all-docs slash command and a matching model-invocable skill. Reviews the current session for context worth recording in the project's docs and updates CLAUDE.md, README.md, and docs/**/*.md with one-line additions. Categorizes by audience so internal CLAUDE.md context doesn't leak into user-facing README. Requires the official claude-md-management plugin (which it delegates to for CLAUDE.md updates):

/plugin install claude-md-management@anthropics

/resolve-github-alerts

Triages and resolves GitHub security alerts (Dependabot, code scanning, secret scanning) across pip / pip-tools / poetry / uv / npm / yarn / pnpm / cargo / go-modules / Docker / GitHub Actions ecosystems. Run it in any repo to:

• Fix failing Dependabot PRs (lint/test issues)
• Bump vulnerable dependencies and recompile lockfiles
• Remediate code scanning and secret scanning alerts
• Submit a single PR with all fixes for manual review

Auto-detects the project's verify commands (Makefile targets, pre-commit, ruff, pytest, npm scripts) — no per-project configuration required.

/resolve-github-alerts

Usage Examples

Get Multiple AI Perspectives

I'm deciding between Redis and Memcached for caching user sessions.
Ask ChatGPT for their analysis.

Follow up with:

• "Ask Gemini for another perspective"
• "What does DeepSeek think about this?"

Debug with Multiple Perspectives

I'm getting "TypeError: Cannot read property 'map' of undefined" in my React component.
The error occurs in UserList.jsx when rendering the users array.
Ask ChatGPT and Gemini for debugging suggestions.

Environment Variables

# Required (at least one for AI feedback tools)
OPENAI_API_KEY=sk-...                              # Your OpenAI API key
GOOGLE_API_KEY=...                                 # Your Google API key (for Gemini)
DEEPSEEK_API_KEY=sk-...                            # Your DeepSeek API key

# Optional
MCP_TOOLZ_MODEL=gpt-5                                         # OpenAI model (default: gpt-5)
MCP_TOOLZ_GEMINI_MODEL=gemini-2.0-flash-thinking-exp-01-21   # Gemini model
MCP_TOOLZ_DEEPSEEK_MODEL=deepseek-chat                        # DeepSeek model

Troubleshooting

"Error 401: Invalid API key"

• Verify API keys are set in .env or environment variables
• Check billing is enabled on your API provider account

"No module named context_manager"

• Use PYTHONPATH=src before running Python directly
• Or install via pip: pip install mcp-toolz

Project Structure

mcp-toolz/
├── src/
│   ├── mcp_server/              # MCP server for Claude Code
│   │   └── server.py            # MCP tools and handlers
│   └── context_manager/         # Client implementations
│       ├── openai_client.py     # ChatGPT API client
│       ├── gemini_client.py     # Gemini API client
│       └── deepseek_client.py   # DeepSeek API client
├── tests/                       # pytest tests
├── requirements.in
└── requirements.txt

Development

Setup for Contributors

# Clone and install
git clone https://github.com/taylorleese/mcp-toolz.git
cd mcp-toolz
python3 -m venv venv
source venv/bin/activate
pip install -r requirements-dev.txt

# Install pre-commit hooks (IMPORTANT!)
pre-commit install

# Copy and configure .env
cp .env.example .env
# Edit .env with your API keys

Running Tests

source venv/bin/activate
pytest

Code Quality

# Run all checks (runs automatically on commit after pre-commit install)
pre-commit run --all-files

# Individual tools
black .
ruff check .
mypy src/

License

MIT