my-pal-mcp-server/README.md

# Gemini MCP Server for Claude Code

<div align="center">
  <img src="https://github.com/user-attachments/assets/0990ee89-9160-45d6-a407-ee925bcb43cb" width="600">
  
  **🤖 Claude + Gemini = Your Ultimate AI Development Team**
</div>

The ultimate development partner for Claude - a Model Context Protocol server that gives Claude access to Google's Gemini 2.5 Pro for extended thinking, code analysis, and problem-solving. **Automatically reads files and directories, passing their contents to Gemini for analysis within its 1M token context.**

## Why This Server?

Claude is brilliant, but sometimes you need:
- **A senior developer partner** to validate and extend ideas ([`chat`](#1-chat---general-development-chat--collaborative-thinking))
- **A second opinion** on complex architectural decisions - augment Claude's extended thinking with Gemini's perspective ([`think_deeper`](#2-think_deeper---extended-reasoning-partner))
- **Professional code reviews** with actionable feedback across entire repositories ([`review_code`](#3-review_code---professional-code-review))
- **Pre-commit validation** with deep analysis that finds edge cases, validates your implementation against original requirements, and catches subtle bugs Claude might miss ([`review_pending_changes`](#4-review_pending_changes---pre-commit-validation))
- **Expert debugging** for tricky issues with full system context ([`debug_issue`](#5-debug_issue---expert-debugging-assistant))
- **Massive context window** (1M tokens) - Gemini 2.5 Pro can analyze entire codebases, read hundreds of files at once, and provide comprehensive insights ([`analyze`](#6-analyze---smart-file-analysis))
- **Deep code analysis** across massive codebases that exceed Claude's context limits ([`analyze`](#6-analyze---smart-file-analysis))
- **Dynamic collaboration** - Gemini can request additional context from Claude mid-analysis for more thorough insights

This server makes Gemini your development sidekick, handling what Claude can't or extending what Claude starts.

## File & Directory Support

All tools accept both individual files and entire directories. The server:
- **Automatically expands directories** to find all code files recursively
- **Intelligently filters** hidden files, caches, and non-code files
- **Handles mixed inputs** like `"analyze main.py, src/, and tests/"`
- **Manages token limits** by loading as many files as possible within Gemini's context

## Quickstart (5 minutes)

### 1. Get a Gemini API Key
Visit [Google AI Studio](https://makersuite.google.com/app/apikey) and generate an API key. For best results with Gemini 2.5 Pro, use a paid API key as the free tier has limited access to the latest models.

### 2. Clone the Repository
Clone this repository to a location on your computer:

```bash
# Example: Clone to your home directory
cd ~
git clone https://github.com/BeehiveInnovations/gemini-mcp-server.git

# The server is now at: ~/gemini-mcp-server
```

**Note the full path** - you'll need it in the next step:
- **macOS/Linux**: `/Users/YOUR_USERNAME/gemini-mcp-server`
- **Windows**: `C:\Users\YOUR_USERNAME\gemini-mcp-server`

### 3. Configure Claude Desktop
Add the server to your `claude_desktop_config.json`:

**Find your config file:**
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`  
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

**Add this configuration** (replace with YOUR actual paths):

**macOS/Linux:**
```json
{
  "mcpServers": {
    "gemini": {
      "command": "/Users/YOUR_USERNAME/gemini-mcp-server/run_gemini.sh",
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key-here"
      }
    }
  }
}
```

**Windows:**
```json
{
  "mcpServers": {
    "gemini": {
      "command": "C:\\Users\\YOUR_USERNAME\\gemini-mcp-server\\run_gemini.bat",
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key-here"
      }
    }
  }
}
```

**Important**: 
- Replace `YOUR_USERNAME` with your actual username
- Use the full absolute path where you cloned the repository
- Windows users: Note the double backslashes `\\` in the path

### 4. Restart Claude Desktop
Completely quit and restart Claude Desktop for the changes to take effect.

### 5. Connect to Claude Code

To use the server in Claude Code, run:
```bash
claude mcp add-from-claude-desktop -s user
```

### 6. Start Using It!

Just ask Claude naturally:
- "Use gemini to think deeper about this architecture design" → `think_deeper`
- "Get gemini to review this code for security issues" → `review_code`
- "Get gemini to debug why this test is failing" → `debug_issue`
- "Use gemini to analyze these files to understand the data flow" → `analyze`
- "Brainstorm with gemini about scaling strategies" → `chat`
- "Share my implementation plan with gemini for feedback" → `chat`
- "Get gemini's opinion on my authentication design" → `chat`

## Available Tools

**Quick Tool Selection Guide:**
- **Need deeper thinking?** → `think_deeper` (extends Claude's analysis, finds edge cases)
- **Code needs review?** → `review_code` (bugs, security, performance issues)
- **Pre-commit validation?** → `review_pending_changes` (validate git changes before committing)
- **Something's broken?** → `debug_issue` (root cause analysis, error tracing)
- **Want to understand code?** → `analyze` (architecture, patterns, dependencies)
- **Need a thinking partner?** → `chat` (brainstorm ideas, get second opinions, validate approaches)
- **Check models?** → `list_models` (see available Gemini models)
- **Server info?** → `get_version` (version and configuration details)

**Tools Overview:**
1. [`chat`](#1-chat---general-development-chat--collaborative-thinking) - Collaborative thinking and development conversations
2. [`think_deeper`](#2-think_deeper---extended-reasoning-partner) - Extended reasoning and problem-solving
3. [`review_code`](#3-review_code---professional-code-review) - Professional code review with severity levels
4. [`review_pending_changes`](#4-review_pending_changes---pre-commit-validation) - Validate git changes before committing
5. [`debug_issue`](#5-debug_issue---expert-debugging-assistant) - Root cause analysis and debugging
6. [`analyze`](#6-analyze---smart-file-analysis) - General-purpose file and code analysis
7. [`list_models`](#7-list_models---see-available-gemini-models) - List available Gemini models
8. [`get_version`](#8-get_version---server-information) - Get server version and configuration

### 1. `chat` - General Development Chat & Collaborative Thinking
**Your thinking partner - bounce ideas, get second opinions, brainstorm collaboratively**

#### Example Prompts:

**Basic Usage:**
```
"Use gemini to explain how async/await works in Python"
"Get gemini to compare Redis vs Memcached for session storage"
"Share my authentication design with gemini and get their opinion"
"Brainstorm with gemini about scaling strategies for our API"
```

**Collaborative Workflow:**
```
"Research the best message queue for our use case (high throughput, exactly-once delivery).
Use gemini to compare RabbitMQ, Kafka, and AWS SQS. Based on gemini's analysis and your research,
recommend the best option with implementation plan."

"Design a caching strategy for our API. Get gemini's input on Redis vs Memcached vs in-memory caching.
Combine both perspectives to create a comprehensive caching implementation guide."
```

**Key Features:**
- Collaborative thinking partner for your analysis and planning
- Get second opinions on your designs and approaches
- Brainstorm solutions and explore alternatives together
- Validate your checklists and implementation plans
- General development questions and explanations
- Technology comparisons and best practices
- Architecture and design discussions
- Can reference files for context: `"Use gemini to explain this algorithm with context from algorithm.py"`
- **Dynamic collaboration**: Gemini can request additional files or context during the conversation if needed for a more thorough response

**Triggers:** ask, explain, compare, suggest, what about, brainstorm, discuss, share my thinking, get opinion

### 2. `think_deeper` - Extended Reasoning Partner

<div align="center">
  <img src="https://github.com/user-attachments/assets/0f3c8e2d-a236-4068-a80e-46f37b0c9d35" width="600">
</div>

**Prompt:**
```
Study the code properly, think deeply about what this does and then see if there's any room for improvement in
terms of performance optimizations, brainstorm with gemini on this to get feedback and then confirm any change by
first adding a unit test with `measure` and measuring current code and then implementing the optimization and
measuring again to ensure it improved, then share results. Check with gemini in between as you make tweaks.
```

**Get a second opinion to augment Claude's own extended thinking**

#### Example Prompts:

**Basic Usage:**
```
"Use gemini to think deeper about my authentication design"
"Use gemini to extend my analysis of this distributed system architecture"
```

**Collaborative Workflow:**
```
"Design an authentication system for our SaaS platform. Then use gemini to review your design
 for security vulnerabilities. After getting gemini's feedback, incorporate the suggestions and
show me the final improved design."

"Create an event-driven architecture for our order processing system. Use gemini to think deeper
about event ordering and failure scenarios. Then integrate gemini's insights and present the enhanced architecture."
```

**Key Features:**
- **Uses Gemini's specialized thinking models** for enhanced reasoning capabilities
- Provides a second opinion on Claude's analysis
- Challenges assumptions and identifies edge cases Claude might miss
- Offers alternative perspectives and approaches
- Validates architectural decisions and design patterns
- Can reference specific files for context: `"Use gemini to think deeper about my API design with reference to api/routes.py"`

**Triggers:** think deeper, ultrathink, extend my analysis, validate my approach

### 3. `review_code` - Professional Code Review  
**Comprehensive code analysis with prioritized feedback**

#### Example Prompts:

**Basic Usage:**
```
"Use gemini to review auth.py for issues"
"Use gemini to do a security review of auth/ focusing on authentication"
```

**Collaborative Workflow:**
```
"Refactor the authentication module to use dependency injection. Then use gemini to
review your refactoring for any security vulnerabilities. Based on gemini's feedback,
make any necessary adjustments and show me the final secure implementation."

"Optimize the slow database queries in user_service.py. Get gemini to review your optimizations
 for potential regressions or edge cases. Incorporate gemini's suggestions and present the final optimized queries."
```

**Key Features:**
- Issues prioritized by severity (🔴 CRITICAL → 🟢 LOW)
- Supports specialized reviews: security, performance, quick
- Can enforce coding standards: `"Use gemini to review src/ against PEP8 standards"`
- Filters by severity: `"Get gemini to review auth/ - only report critical vulnerabilities"`

**Triggers:** review code, check for issues, find bugs, security check

### 4. `review_pending_changes` - Pre-Commit Validation
**Comprehensive review of staged/unstaged git changes across multiple repositories**

#### Example Prompts:

**Basic Usage:**
```
"Use gemini to review my pending changes before I commit"
"Get gemini to validate all my git changes match the original requirements"
"Review pending changes in the frontend/ directory"
```

**Collaborative Workflow:**
```
"I've implemented the user authentication feature. Use gemini to review all pending changes
across the codebase to ensure they align with the security requirements. Fix any issues
gemini identifies before committing."

"Review all my changes for the API refactoring task. Get gemini to check for incomplete
implementations or missing test coverage. Update the code based on gemini's findings."
```

**Key Features:**
- **Recursive repository discovery** - finds all git repos including nested ones
- **Validates changes against requirements** - ensures implementation matches intent
- **Detects incomplete changes** - finds added functions never called, missing tests, etc.
- **Multi-repo support** - reviews changes across multiple repositories in one go
- **Configurable scope** - review staged, unstaged, or compare against branches
- **Security focused** - catches exposed secrets, vulnerabilities in new code
- **Smart truncation** - handles large diffs without exceeding context limits

**Parameters:**
- `path`: Starting directory to search for repos (default: current directory)
- `original_request`: The requirements/ticket for context
- `compare_to`: Compare against a branch/tag instead of local changes
- `review_type`: full|security|performance|quick
- `severity_filter`: Filter by issue severity
- `max_depth`: How deep to search for nested repos

**Triggers:** review pending changes, check my changes, validate changes, pre-commit review

### 5. `debug_issue` - Expert Debugging Assistant
**Root cause analysis for complex problems**

#### Example Prompts:

**Basic Usage:**
```
"Use gemini to debug this TypeError: 'NoneType' object has no attribute 'split'"
"Get gemini to debug why my API returns 500 errors with the full stack trace: [paste traceback]"
```

**Collaborative Workflow:**
```
"I'm getting 'ConnectionPool limit exceeded' errors under load. Debug the issue and use
gemini to analyze it deeper with context from db/pool.py. Based on gemini's root cause analysis,
implement a fix and get gemini to validate the solution will scale."

"Debug why tests fail randomly on CI. Once you identify potential causes, share with gemini along
with test logs and CI configuration. Apply gemini's debugging strategy, then use gemini to
suggest preventive measures."
```

**Key Features:**
- Generates multiple ranked hypotheses for systematic debugging
- Accepts error context, stack traces, and logs
- Can reference relevant files for investigation
- Supports runtime info and previous attempts
- Provides structured root cause analysis with validation steps
- Can request additional context when needed for thorough analysis

**Triggers:** debug, error, failing, root cause, trace, not working

### 6. `analyze` - Smart File Analysis
**General-purpose code understanding and exploration**

#### Example Prompts:

**Basic Usage:**
```
"Use gemini to analyze main.py to understand how it works"
"Get gemini to do an architecture analysis of the src/ directory"
```

**Collaborative Workflow:**
```
"Analyze our project structure in src/ and identify architectural improvements. Share your
analysis with gemini for a deeper review of design patterns and anti-patterns. Based on both
analyses, create a refactoring roadmap."

"Perform a security analysis of our authentication system. Use gemini to analyze auth/, middleware/, and api/ for vulnerabilities.
Combine your findings with gemini's to create a comprehensive security report."
```

**Key Features:**
- Analyzes single files or entire directories
- Supports specialized analysis types: architecture, performance, security, quality
- Uses file paths (not content) for clean terminal output
- Can identify patterns, anti-patterns, and refactoring opportunities

**Triggers:** analyze, examine, look at, understand, inspect

### 7. `list_models` - See Available Gemini Models
```
"Use gemini to list available models"
"Get gemini to show me what models I can use"
```

### 8. `get_version` - Server Information
```
"Use gemini for its version"
"Get gemini to show server configuration"
```

## Tool Parameters

All tools that work with files support **both individual files and entire directories**. The server automatically expands directories, filters for relevant code files, and manages token limits.

### File-Processing Tools

**`analyze`** - Analyze files or directories
- `files`: List of file paths or directories (required)
- `question`: What to analyze (required)
- `analysis_type`: architecture|performance|security|quality|general
- `output_format`: summary|detailed|actionable
- `thinking_mode`: minimal|low|medium|high|max (default: medium)

```
"Use gemini to analyze the src/ directory for architectural patterns"
"Get gemini to analyze main.py and tests/ to understand test coverage"
```

**`review_code`** - Review code files or directories
- `files`: List of file paths or directories (required)
- `review_type`: full|security|performance|quick
- `focus_on`: Specific aspects to focus on
- `standards`: Coding standards to enforce
- `severity_filter`: critical|high|medium|all
- `thinking_mode`: minimal|low|medium|high|max (default: medium)

```
"Use gemini to review the entire api/ directory for security issues"
"Get gemini to review src/ with focus on performance, only show critical issues"
```

**`debug_issue`** - Debug with file context
- `error_description`: Description of the issue (required)
- `error_context`: Stack trace or logs
- `files`: Files or directories related to the issue
- `runtime_info`: Environment details
- `previous_attempts`: What you've tried
- `thinking_mode`: minimal|low|medium|high|max (default: medium)

```
"Use gemini to debug this error with context from the entire backend/ directory"
```

**`think_deeper`** - Extended analysis with file context
- `current_analysis`: Your current thinking (required)
- `problem_context`: Additional context
- `focus_areas`: Specific aspects to focus on
- `files`: Files or directories for context
- `thinking_mode`: minimal|low|medium|high|max (default: max)

```
"Use gemini to think deeper about my design with reference to the src/models/ directory"
```

## Collaborative Workflows

### Design → Review → Implement
```
"Design a real-time collaborative editor. Use gemini to think deeper about edge cases and scalability.
Implement an improved version incorporating gemini's suggestions."
```

### Code → Review → Fix
```
"Implement JWT authentication. Get gemini to do a security review. Fix any issues gemini identifies and
show me the secure implementation."
```

### Debug → Analyze → Solution
```
"Debug why our API crashes under load. Use gemini to analyze deeper with context from api/handlers/. Implement a
fix based on gemini's root cause analysis."
```

## Pro Tips

### Natural Language Triggers
The server recognizes natural phrases. Just talk normally:
- ❌ "Use the think_deeper tool with current_analysis parameter..."
- ✅ "Use gemini to think deeper about this approach"

### Automatic Tool Selection
Claude will automatically pick the right tool based on your request:
- "review" → `review_code`
- "debug" → `debug_issue`
- "analyze" → `analyze`
- "think deeper" → `think_deeper`

### Clean Terminal Output
All file operations use paths, not content, so your terminal stays readable even with large files.

### Context Awareness
Tools can reference files for additional context:
```
"Use gemini to debug this error with context from app.py and config.py"
"Get gemini to think deeper about my design, reference the current architecture.md"
```

### Tool Selection Guidance
To help choose the right tool for your needs:

**Decision Flow:**
1. **Have a specific error/exception?** → Use `debug_issue`
2. **Want to find bugs/issues in code?** → Use `review_code`
3. **Want to understand how code works?** → Use `analyze`
4. **Have analysis that needs extension/validation?** → Use `think_deeper`
5. **Want to brainstorm or discuss?** → Use `chat`

**Key Distinctions:**
- `analyze` vs `review_code`: analyze explains, review_code prescribes fixes
- `chat` vs `think_deeper`: chat is open-ended, think_deeper extends specific analysis
- `debug_issue` vs `review_code`: debug diagnoses runtime errors, review finds static issues

## Advanced Features

### Dynamic Context Requests
Tools can request additional context from Claude during execution. When Gemini needs more information to provide a thorough analysis, it will ask Claude for specific files or clarification, enabling true collaborative problem-solving.

**Example:** If Gemini is debugging an error but needs to see a configuration file that wasn't initially provided, it can request: 
```json
{
  "status": "requires_clarification",
  "question": "I need to see the database configuration to understand this connection error",
  "files_needed": ["config/database.yml", "src/db_connection.py"]
}
```

Claude will then provide the requested files and Gemini can continue with a more complete analysis.

### Standardized Response Format
All tools now return structured JSON responses for consistent handling:
```json
{
  "status": "success|error|requires_clarification",
  "content": "The actual response content",
  "content_type": "text|markdown|json",
  "metadata": {"tool_name": "analyze", ...}
}
```

This enables better integration, error handling, and support for the dynamic context request feature.

### Enhanced Thinking Models

All tools support a `thinking_mode` parameter that controls Gemini's thinking budget for deeper reasoning:

```
"Use gemini to review auth.py with thinking_mode=max"
"Get gemini to analyze the architecture with thinking_mode=medium"
```

**Thinking Modes:**
- `minimal`: Minimum thinking (128 tokens for Gemini 2.5 Pro)
- `low`: Light reasoning (2,048 token thinking budget)
- `medium`: Balanced reasoning (8,192 token thinking budget - default for all tools)
- `high`: Deep reasoning (16,384 token thinking budget)
- `max`: Maximum reasoning (32,768 token thinking budget - default for think_deeper)

**When to use:**
- `minimal`: For simple, straightforward tasks
- `low`: For tasks requiring basic reasoning
- `medium`: For most development tasks (default)
- `high`: For complex problems requiring thorough analysis
- `max`: For the most complex problems requiring exhaustive reasoning

**Note:** Gemini 2.5 Pro requires a minimum of 128 thinking tokens, so thinking cannot be fully disabled

## Configuration

The server includes several configurable properties that control its behavior:

### Model Configuration
- **`DEFAULT_MODEL`**: `"gemini-2.5-pro-preview-06-05"` - The latest Gemini 2.5 Pro model with native thinking support
- **`MAX_CONTEXT_TOKENS`**: `1,000,000` - Maximum input context (1M tokens for Gemini 2.5 Pro)

### Temperature Defaults
Different tools use optimized temperature settings:
- **`TEMPERATURE_ANALYTICAL`**: `0.2` - Used for code review and debugging (focused, deterministic)
- **`TEMPERATURE_BALANCED`**: `0.5` - Used for general chat (balanced creativity/accuracy)
- **`TEMPERATURE_CREATIVE`**: `0.7` - Used for deep thinking and architecture (more creative)


## File Path Requirements

**All file paths must be absolute paths.**

### Setup
1. **Use absolute paths** in all tool calls:
   ```
   ✅ "Use gemini to analyze /Users/you/project/src/main.py"
   ❌ "Use gemini to analyze ./src/main.py"  (will be rejected)
   ```

2. **Set MCP_PROJECT_ROOT** to your project directory for security:
   ```json
   "env": {
     "GEMINI_API_KEY": "your-key",
     "MCP_PROJECT_ROOT": "/Users/you/project"
   }
   ```
   The server only allows access to files within this directory.

## Installation

1. Clone the repository:
   ```bash
   git clone https://github.com/BeehiveInnovations/gemini-mcp-server.git
   cd gemini-mcp-server
   ```

2. Create virtual environment:
   ```bash
   python3 -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   ```

3. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

4. Set your Gemini API key:
   ```bash
   export GEMINI_API_KEY="your-api-key-here"
   ```

## How System Prompts Work

The server uses carefully crafted system prompts to give each tool specialized expertise:

### Prompt Architecture
- **Centralized Prompts**: All system prompts are defined in `prompts/tool_prompts.py`
- **Tool Integration**: Each tool inherits from `BaseTool` and implements `get_system_prompt()`
- **Prompt Flow**: `User Request → Tool Selection → System Prompt + Context → Gemini Response`

### Specialized Expertise
Each tool has a unique system prompt that defines its role and approach:
- **`think_deeper`**: Acts as a senior development partner, challenging assumptions and finding edge cases
- **`review_code`**: Expert code reviewer with security/performance focus, uses severity levels
- **`debug_issue`**: Systematic debugger providing root cause analysis and prevention strategies
- **`analyze`**: Code analyst focusing on architecture, patterns, and actionable insights

### Customization
To modify tool behavior, you can:
1. Edit prompts in `prompts/tool_prompts.py` for global changes
2. Override `get_system_prompt()` in a tool class for tool-specific changes
3. Use the `temperature` parameter to adjust response style (0.2 for focused, 0.7 for creative)

## Contributing

We welcome contributions! The modular architecture makes it easy to add new tools:

1. Create a new tool in `tools/`
2. Inherit from `BaseTool`
3. Implement required methods (including `get_system_prompt()`)
4. Add your system prompt to `prompts/tool_prompts.py`
5. Register your tool in `TOOLS` dict in `server.py`

See existing tools for examples.

## Testing

### Unit Tests (No API Key Required)
The project includes comprehensive unit tests that use mocks and don't require a Gemini API key:

```bash
# Run all unit tests
python -m pytest tests/ --ignore=tests/test_live_integration.py -v

# Run with coverage
python -m pytest tests/ --ignore=tests/test_live_integration.py --cov=. --cov-report=html
```

### Live Integration Tests (API Key Required)
To test actual API integration:

```bash
# Set your API key
export GEMINI_API_KEY=your-api-key-here

# Run live integration tests
python tests/test_live_integration.py
```

### GitHub Actions CI/CD
The project includes GitHub Actions workflows that:

- **✅ Run unit tests automatically** - No API key needed, uses mocks
- **✅ Test on Python 3.10, 3.11, 3.12** - Ensures compatibility
- **✅ Run linting and formatting checks** - Maintains code quality  
- **🔒 Run live tests only if API key is available** - Optional live verification

The CI pipeline works without any secrets and will pass all tests using mocked responses. Live integration tests only run if a `GEMINI_API_KEY` secret is configured in the repository.

## License

MIT License - see LICENSE file for details.

## Acknowledgments

Built with the power of **Claude + Gemini** collaboration 🤝
- [MCP (Model Context Protocol)](https://modelcontextprotocol.com) by Anthropic
- [Claude Code](https://claude.ai/code) - Your AI coding assistant
- [Gemini 2.5 Pro](https://ai.google.dev/) - Extended thinking & analysis engine