dynamo_mcp_server

talha307841/dynamo_mcp_server

3.2

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Dynamo MCP is a self-extending model context protocol server that leverages LLM technology to dynamically generate and register tools as needed.

Dynamo MCP 🚀

The Self-Extending MCP Server
One MCP server to build them all ⚡

🌟 Why Dynamo MCP?

Most MCP servers are static: you code tools once, deploy, and that’s it.
Dynamo MCP is different — it’s the world’s first self-extending MCP server.

  • 🧠 LLM-powered tool generation → Missing a tool? Dynamo asks an LLM to create one.
  • 📂 Persistent registry → Every generated tool is saved & reusable forever.
  • 🔌 Plug-and-play for AIs → Any AI (Claude, GPT, local models) can request tools.
  • 🛡️ Sandbox-ready → Tools run in safe environments.
  • 🌍 Global utility hub → From time zones to PDF generation — one server, infinite growth.

📊 System Architecture

graph TD
    A[AI Client] -->|Request Tool| B[Dynamo MCP Server]
    B -->|Check| C[Tool Registry]
    C -->|Exists| D[Return Tool]
    C -->|Missing| E[LLM Generator]
    E -->|Generate| F[Dynamic Loader]
    F -->|Register| C
    D -->|Execute| G[Result Back to Client]

🔄 Workflow Example

sequenceDiagram
    participant AI as AI Client
    participant D as Dynamo MCP
    participant R as Tool Registry
    participant L as LLM Generator

    AI->>D: Request "time_in_timezone"
    D->>R: Check tool
    R-->>D: Tool Found
    D-->>AI: Return result ✅

    AI->>D: Request "text_to_pdf"
    D->>R: Check tool
    R-->>D: Not Found ❌
    D->>L: Generate tool
    L-->>D: Returns code
    D->>R: Save + Register tool
    D-->>AI: Return result ✅

🚀 Quick Start

1️⃣ Clone the repo

git clone https://github.com/yourname/dynamo-mcp.git
cd dynamo-mcp

2️⃣ Install dependencies

pip install -r requirements.txt

3️⃣ Run the server

python main.py

4️⃣ Connect to your AI

  • Claude Desktop → add dynamo-mcp in config
  • OpenAI client → use MCP stdio transport
  • Or call the HTTP endpoint directly

⚙️ Example Usage

AI asks:

"What’s the time in Tokyo?"

✔️ Dynamo finds time_in_timezone → returns instantly.

AI asks:

"Convert this text into a PDF."

❌ Tool not found →
⚡ Dynamo generates text_to_pdf with an LLM, saves it, and returns the PDF.
✔️ Next time → tool is already available.

📈 Roadmap

  • Core MCP server
  • Persistent registry of tools
  • Sandbox execution (Docker/WASM isolation)
  • Web dashboard with tool marketplace
  • Tool versioning + rollback
  • Global “Dynamo Hub” for shared tools

🤝 Contributing

We welcome your PRs! 🚀 Build new core features, improve security, or design amazing logos/UX.

  1. Fork it
  2. Create feature branch (git checkout -b feature/awesome)
  3. Commit (git commit -m "Add awesome feature")
  4. Push & PR

📜 License

MIT License © 2025 Talha Yousaf

💡 Tagline

Dynamo MCP — The last MCP server you’ll ever need.