🧠 Model Context Protocol (MCP)
Demo of implementation of MCP using Langchain MCP Adapters and Ollama
Overview
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open-source protocol designed to connect Large Language Models (LLMs) with external tools, services, and data sources, acting as a translator layer for seamless integration.
How to use MCP?
To use MCP, start the servers (mathserver and weatherserver) and run the client or multi-client demo scripts to interact with the LLMs and external services.
Key features of MCP?
- Standardized interface for tool integration
- Pre-built integrations for LLMs
- Flexibility to switch between LLM providers
- Best practices for data security
Use cases of MCP?
- Building AI assistants that can perform real-world tasks
- Integrating LLMs with databases and APIs
- Creating complex workflows using LLMs and external tools
FAQ from MCP?
- What is the purpose of MCP?
MCP simplifies the integration of LLMs with various tools and services, making it easier to build powerful AI applications.
- Is MCP open-source?
Yes! MCP is an open-source protocol available for anyone to use and contribute to.
- How does MCP ensure data security?
MCP follows best practices for securing data within your infrastructure, ensuring safe communication between clients and servers.
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