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viveksingh-ctrl

mcp-contentstack

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4 stars PythonOthers Updated Aug 18, 2025

Documentation

Claude 3.7 Sonnet MCP Interface

This project enables powerful, LLM-agnostic interactions with Claude 3.7 Sonnet, either via the Claude Desktop (MCP GUI) or directly through a command-line client using AWS Bedrock and the MCP protocol.


🧭 Options for Usage

You can interact with Claude in two ways:


🖥️ 1. Using Claude Desktop (GUI with MCP Server)

Claude Desktop provides a graphical interface for working with Claude via the MCP protocol. It is ideal for users who want a visual tool experience.

✅ Features

  • GUI-based interaction with Claude
  • Tool registration and calls via local or remote servers
  • Plug-and-play tool development and testing

🚀 Usage

1. Start Claude Desktop

    2. Connect a tool server

      3. Start chatting

        📦 For more info, visit: https://github.com/ai-sdk/mcp


        🧑‍💻 2. Using MCP Client Directly (CLI via Bedrock)

        This CLI tool connects to Claude through AWS Bedrock and automatically handles tool calling using the MCP protocol.

        ✨ Features

        • CLI-driven interaction with Claude 3.7 Sonnet
        • Automatic tool discovery via MCP
        • Tool call execution and response routing
        • Rich UI with markdown, syntax highlighting, and spinners
        • Lightweight and extensible

        📦 Setup

        bash
        curl -LsSf https://astral.sh/uv/install.sh | sh
        git clone https://github.com/your-username/claude-mcp-client.git
        cd claude-mcp-client
        uv venv .venv
        source .venv/bin/activate  # or .venv\Scripts\activate on Windows
        uv pip install -r requirements.txt

        Create a `.env` file in the root:

        env
        AWS_ACCESS_KEY_ID=your-access-key
        AWS_SECRET_ACCESS_KEY=your-secret-key
        AWS_REGION=us-east-1
        AUTHTOKEN=bltsomething
        BRAND_KIT_UID=cssomething

        > 🧠 Model used: `us.anthropic.claude-3-7-sonnet-20250219-v1:0`

        🚀 Running the Client

        bash
        python client.py ./brand-kit/knowledge-vault/crud.py

        Example Tool Server

        python
        # tool_server.py
        from mcp.server.fastmcp import FastMCP 
        server = FastMCP()
        @server.tool()
        class AddTool(Tool):
            name = "add"
            description = "Adds two numbers"
            input_schema = {"a": "number", "b": "number"}
        
            async def call(self, input):
                return input["a"] + input["b"]
        
        if __name__ == "__main__":
            server.run()

        🧠 Interaction Flow

        • The CLI maintains a conversation history (configurable)
        • Claude can detect when a tool is needed and call it automatically
        • Tool responses are routed back to Claude for follow-up
        • Everything is streamed and displayed beautifully in your terminal

        💡 Type `quit` anytime to exit.


        🛠 Architecture Overview

        code
        Claude (via AWS Bedrock)
                |
              Client.py
                |
            ┌────────────┐
            │ MCP Server │  <── Tool: Python or JS
            └────────────┘

        🧹 Cleanup

        The client ensures graceful shutdown using `AsyncExitStack` and `aclose()` to clean up all sessions.


        🖼️ Interface Preview

        Here's a quick look at Claude Desktop in action:

        Screenshot 2025-05-01 at 11 09 25 PM

        🛡 License

        MIT License


        🙏 Credits

        Frequently asked questions

        What is mcp-contentstack?

        mcp-contentstack is a Model Context Protocol (MCP) server listed in the TrackMCP directory.

        How do I install mcp-contentstack?

        Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

        Is mcp-contentstack open source?

        Yes — it is hosted on GitHub at https://github.com/viveksingh-ctrl/mcp-contentstack and has 4 stars.

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