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Model Context Protocol MCP Demo With Langchain MCP ADAPTERS Ollama

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.
2 points
15

What is MCP Server?

The MCP Server acts as a translator layer that allows LLMs to interact with external services (like math operations or weather data) in a standardized way. It converts service functionality into a format that LLMs can understand and use.

How to use MCP Server?

1. Start the desired MCP server (math or weather) 2. Connect your LLM application via the MCP client 3. The server will advertise available tools 4. Your LLM can now use these tools through standardized requests

Use Cases

- Building AI assistants that need real-world data - Creating workflows that combine LLMs with existing APIs - Developing applications where LLMs need to perform calculations - Integrating LLMs with business databases securely

Key Features

Standardized InterfaceProvides a consistent way for LLMs to interact with diverse services, similar to how REST standardized web services.
Multi-Service SupportCan connect to multiple services simultaneously (demonstrated in multiclient.py).
LangChain IntegrationWorks seamlessly with LangChain framework through langchain-mcp-adapters.

Pros and Cons

Advantages
Simplifies integration of LLMs with real-world tools
Reduces maintenance overhead with standardized protocol
Future-proof architecture that supports new services
Open-source and extensible
Limitations
Requires setup of server components
Currently has limited pre-built integrations
Performance depends on underlying service response times

Getting Started

Install Requirements
Ensure you have Python installed along with required packages (LangChain, Ollama).
Start Servers
Launch the desired MCP servers in separate terminal windows.
Run Client
Execute either the single-service client or multi-service client.

Example Scenarios

Financial CalculationAn AI assistant helping with shopping calculations
Travel PlanningChecking weather for trip planning

Frequently Asked Questions

Do I need to modify my LLM to use MCP?
Can I add my own custom services?
Is MCP secure for sensitive data?

Additional Resources

LangChain MCP Adapters
Library for using MCP with LangChain
Ollama Documentation
For managing local LLM models
MCP Protocol Discussion
Community forum for MCP development
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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