Quick Primer on MCP Using Ollama and LangChain

Quick Primer on Model Context Protocol (MCP) Bhaskar S Overview When LLMs first made their first appearance, the Enterprise apps built using LLMs were restricted to the knowledge on what the LLMs where trained on. These apps were useful for a set of tasks such as, text generation, text sentiment analysis, text summarization, etc. The next evolution for LLM apps was the integration with Enterprise data assets via the Vector Stores for contextual knowledge retrieval using RAGs. As agentic frameworks like LangChain came along with support for tools integration for automating manual tasks, the LLM apps evolved to drive automation in the Enterprise environment. The challenge however was that there was no industry standard for tools integration and every framework had its own approach to tools integration. Enter the Model Context Protocol (or MCP) that has changed the landscape for tools integration. Think of MCP as a industry standard layer on top of the other Enterprise services that al ... Read full article.