mcp-jarvis

Enhanced AI Assistant Capabilities with Model Context Protocol (MCP) servers for Claude, GitHub Copilot, VSCode, and more

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README
🚧 {{PROJECT_NAME}}

License: MIT
{{TECH_BADGES}}
Status

πŸš€ {{PROJECT_DESCRIPTION}}

πŸ“Š Project Status
{{PROGRESS_BARS}}
🎯 Overview

{{PROJECT_OVERVIEW}}

πŸ”‘ Key Features (Planned)

{{PLANNED_FEATURES}}

πŸ—οΈ Architecture
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πŸš€ Quick Start
Prerequisites

{{PREREQUISITES}}

🐳 Docker Deployment (Recommended)
# 1. Clone the repository
git clone https://github.com/{{GITHUB_USERNAME}}/{{REPO_NAME}}.git
cd {{REPO_NAME}}

# 2. Configure environment
cp .env.example .env
# Edit .env with your credentials (see configuration section)

# 3. Start all services
{{DOCKER_START_COMMAND}}

# 4. Access the application
{{ACCESS_URLS}}
πŸ› οΈ Local Development
{{LOCAL_DEV_COMMANDS}}
βš™οΈ Configuration
Required Environment Variables

Edit .env file with your credentials:

{{ENVIRONMENT_VARIABLES}}
πŸ“ Project Structure
{{REPO_NAME}}/
{{PROJECT_STRUCTURE}}
πŸ”§ Technology Stack
{{TECH_SECTION_1}}

{{TECH_DETAILS_1}}

{{TECH_SECTION_2}}

{{TECH_DETAILS_2}}

{{TECH_SECTION_3}}

{{TECH_DETAILS_3}}

🌐 {{FEATURE_SECTION}} Features
{{FEATURE_SUBSECTION_1}}

{{FEATURE_DETAILS_1}}

{{FEATURE_SUBSECTION_2}}

{{FEATURE_DETAILS_2}}

πŸ§ͺ Research & Validation

Our approach is built on extensive research:

{{RESEARCH_SECTION_1}}

{{RESEARCH_DETAILS_1}}

{{RESEARCH_SECTION_2}}

{{RESEARCH_DETAILS_2}}

See docs/RESEARCH.md for comprehensive findings.

πŸ› οΈ Development
Available Commands
{{DEVELOPMENT_COMMANDS}}
Development Workflow
{{DEVELOPMENT_WORKFLOW}}
πŸš€ Deployment
Production Deployment
{{PRODUCTION_DEPLOYMENT}}
Environment Configuration
Variable Description Required
{{ENV_TABLE}}
πŸ“ Usage Examples
{{USAGE_SECTION_1}}
{{USAGE_EXAMPLE_1}}
{{USAGE_SECTION_2}}
{{USAGE_EXAMPLE_2}}
{{USAGE_SECTION_3}}
{{USAGE_EXAMPLE_3}}
πŸ”’ Security Features
{{SECURITY_SECTION_1}}

{{SECURITY_DETAILS_1}}

{{SECURITY_SECTION_2}}

{{SECURITY_DETAILS_2}}

{{SECURITY_SECTION_3}}

{{SECURITY_DETAILS_3}}

πŸ“Š Monitoring & Analytics
Available Dashboards

{{MONITORING_DASHBOARDS}}

Monitoring Stack

{{MONITORING_STACK}}

🀝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup
  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Make your changes and add tests
  4. Ensure all tests pass: {{TEST_COMMAND}}
  5. Submit a pull request
Code Standards

{{CODE_STANDARDS}}

πŸ“‹ Roadmap
Current Sprint ({{CURRENT_SPRINT}})

{{CURRENT_TASKS}}

Next Release ({{NEXT_RELEASE}})

{{NEXT_TASKS}}

Future Plans

{{FUTURE_TASKS}}

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

{{ACKNOWLEDGMENTS}}

πŸ“ž Support
πŸ”— Quick Links

{{QUICK_LINKS}}


Built with ❀️ for {{PROJECT_PURPOSE}}
Powered by {{MAIN_TECHNOLOGIES}}
πŸ“ˆ Performance Benchmarks

{{PERFORMANCE_BENCHMARKS}}

πŸ§ͺ Testing Status
Test Coverage

{{TEST_COVERAGE}}

Test Results

{{TEST_RESULTS}}

πŸ”„ CI/CD Pipeline

This project uses automated CI/CD with:

  • βœ… Automated testing on every commit
  • βœ… Security scanning with multiple tools
  • βœ… Code quality checks
  • βœ… Docker image building
  • βœ… Automated deployment to staging

See .github/workflows/ for pipeline configuration.


⚠️ Note: This project is under active development. Features and APIs may change. Please check the issues and discussions for current status and roadmap updates.

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