Modular Multi-Agent Platform (MCP)

A next-generation, extensible agentic platform for orchestrating, composing, and monitoring intelligent agents and tools—across languages, providers, and ecosystems.

Vision

This system is designed as a universal agent orchestration layer, able to:

• Dynamically register and manage agents and tools (Python, C#, etc.)
• Integrate with any Model Context Protocol (MCP) server or tool, including fastmcp (Python), .NET MCP SDK, and more
• Support plug-and-play tools and agents—no code changes required to add new capabilities
• Allow provider/model selection (OpenAI, Anthropic, Perplexity, local LLMs, etc.) per workflow or agent
• Compose custom workflows from available agents/tools via a flexible UI
• Monitor agent/task progress and logs in real time
• Act as an MCP server itself—so it can be discovered and orchestrated by platforms like Claude, Cursor, Windsurf, and others
• Enable human-in-the-loop approval, auditability, and safe execution

Features

• Dynamic agent & tool registry: Add new agents/tools at runtime (via UI or API)
• Cross-language support: Register and invoke Python, C#, or any MCP-compliant tool
• Provider/model selection: Choose which LLM or service powers each agent or workflow
• Composable workflows: Build and run custom flows (e.g., Lint → Test → Review) from modular agents
• Pluggable architecture: Tools and agents can be discovered and registered on the fly
• UI dashboard: Trigger workflows, select providers, monitor progress, review logs, and approve/reject actions
• MCP server mode: Register with external agentic platforms (Claude, Cursor, Windsurf, etc.) for seamless integration
• Safety: Dry-run, backup, guardrails, and full audit trails

Usage

1. Install dependencies:
   • Python: pip install python-dotenv fastmcp openai ruff black
   • C#: .NET MCP SDK and dotnet format (see docs)
2. Configure providers and agents:
   • Edit the UI or config to add new providers/models, agents, and tools
3. Run the platform:
   • Start the backend API and UI dashboard
   • Register new MCP tools/agents as needed (Python, C#, etc.)
   • Build and trigger workflows via the UI
4. Integrate with other platforms:
   • Enable MCP server mode to register this system with Claude, Cursor, Windsurf, etc.

Extending

• Add new agents/tools by exposing them as MCP endpoints (fastmcp, .NET MCP SDK, etc.)
• Register new providers/models for LLM-based agents
• Compose new workflows in the UI or via config
• Plug in external tools or services as long as they speak MCP

Roadmap

• UI workflow builder and dashboard
• Dynamic agent/tool registry (API & UI)
• MCP server mode for platform interoperability
• Provider/model marketplace
• Human-in-the-loop controls

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