Model Context Protocol MCP Demo With Langchain MCP ADAPTERS Ollama

🚀 Model Context Protocol (MCP)

An open - source standard designed to seamlessly connect Large Language Models (LLMs) with the external world, including databases, APIs, and services.

🚀 Quick Start

The Model Context Protocol (MCP) is a new open - source protocol that empowers LLMs to interact with external tools, services, and data sources. As a "translation layer", MCP enables models to connect to APIs, databases, and other services in a standardized, scalable, and easily extensible manner.

✨ Features

🚨 Problem

LLMs themselves cannot perform real - world tasks; they can only generate text. To build powerful AI assistants, we need to integrate them with tools such as:

• Email services
• Search APIs
• Databases
• Custom scripts

However, integrating multiple tools is extremely difficult. APIs vary greatly, maintenance is a challenge, and scalability is a headache.

✅ MCP as a Solution

MCP provides a standardized interface that abstracts the complexity of tool integration. Similar to how REST standardizes web services, MCP sets a standard for communication between LLMs and tools, making integration simpler, cleaner, and future - proof.

🔮 Why Choose MCP?

MCP helps you build LLM - based agents and complex workflows. LLMs often need to interact with data and tools, and MCP offers:

1. A growing list of pre - built integrations that your LLM can directly connect to.
2. The flexibility to switch LLM providers and vendors.
3. Best practices for protecting data in your infrastructure.

🔧 Technical Details

🧩 Architecture and Components

💻 Usage Examples

🌊 Workflow Example

1. Start the servers:

python mathserver.py
python weatherserver.py

2. Run the single - client demo:

python client.py

3. Run the multi - client demo:

python multiclient.py

🚀 Contribute to the Project

Contributions are welcome! If you have any suggestions or wish to improve the project, please fork the repository and submit a Pull Request.

Look forward to your participation:

• Contribution guidelines
• Roadmap
• Issue templates

Feel free to star this repo and join the discussion!

📄 License

This project is open - sourced under the MIT License. For more details, please refer to the LICENSE file.