Note
Model Context Protocol (MCP) Bridge - A powerful service that connects AI agents with DevOps and communication tools through a standardized interface.
Welcome to the MCP Server Multi Tools! This service acts as a seamless integration layer, enabling AI agents and systems to interact with services like Azure DevOps, Slack, GitHub, and even other agents (with their own tools) using a simple, unified protocol.
A comprehensive suite for total project management:
- 📝 Work Items: Create, read, update, search, and comment
- 🏃♂️ Sprints: Manage sprints, view contents, and track progress
- 🔍 WIQL: Execute custom Work Item Query Language statements
- 🔗 Enrichment: Augment work items with GitHub, Slack, and Sentry context
- 📁 Git Content: Fetch file content from associated repositories
- Seamless version control and pull request workflows
- Repository content access and management
- Real-time notifications and messaging
- Channel posting for agent communication
- Team collaboration enhancement
Important
Agents-in-Agents: Revolutionary nested agent architecture
Your AI agent can create and manage other agents, each with:
- 🐋 Docker container with full Debian Linux system
- 🌐 Web browser capabilities
- 🔄 Iterative work processes
- 💬 Inter-agent communication
Warning
Ensure you have the following before proceeding:
- ✅ Go (latest version)
- 🔑 Service credentials (Azure DevOps, Slack tokens, etc.)
- 🐳 Docker Desktop (for agents-in-agents feature)
# Clone the repository
git clone https://github.com/theapemachine/mcp-server-multi-tools.git
cd mcp-server-devops-bridge
# Build the server
go build -o mcp-server-multi-tools .
# Copy and configure environment variables
cp start.sh.example start.sh
vim start.sh # Add your credentials
Tip
The server is configured entirely through environment variables for maximum flexibility.
Add to your Claude Desktop configuration:
{
"mcpServers": {
"multi-tools": {
"command": "/path/to/mcp-server-multi-tools/start.sh",
"args": []
}
}
}
Note
Real AI Development Workflow - Watch Claude Sonnet 4 leverage the bridge to understand requirements, manage tasks, and write code.
The agent uses MCP tools to orchestrate complex development workflows through a single, unified interface.
For a complete history of testing, including the upgraded communication system and the headless browser tool, see agents-full.pdf.
We welcome contributions! Here's how to get involved:
- 🍴 Fork the repository
- 🌿 Branch your feature (
git checkout -b feature/AmazingFeature
) - 💾 Commit your changes (
git commit -m 'Add AmazingFeature'
) - 🚀 Push to branch (
git push origin feature/AmazingFeature
) - 📬 Open a Pull Request
- 🔧 New tool integrations
- 📚 Documentation improvements
- 🐛 Bug fixes and optimizations
- 🎨 UI/UX enhancements
MIT License - See LICENSE for details
Built with 🤷 for the developer community