mcp-projects

My Projects Repo for MCP (Model Context Protocol)

Steps to install and run:

1. Clone this repo
2. Install the requirements

   pip install mcp
   pip install fastapi
   pip install uvicorn
   pip install fastapi-mcp
   pip install llama-index
   pip install llama-index-embeddings-huggingface
   pip install llama-index-llms-langchain
   pip install langchain-mcp-adapters
   

3. Make a .env file in the root folder with the following credentials:

   API_KEY=<IBM_cloud_API_Key>
   PROJECT_ID=<Watsonx_Project_id>
   IBM_CLOUD_URL=<IBM cloud url>
   
   or, use your own llm providers - its agnostic to the projects
   

4. Experiment with different projects and files

What is Model Context Protocol (MCP)?

At its core, MCP is a standardized way for applications to provide AI models with richer context about their environment, user preferences, and conversation history. Think of it as a smart, structured way to feed memory and context to AI systems.

The Problem MCP Solves

Current AI systems have limited "working memory" - they can only see a certain amount of conversation history at once (their "context window"). Imagine trying to have a conversation with someone who only remembers the last few exchanges:

• You: "Remember that project we discussed last week about optimizing the supply chain?"
• AI without good context: "I don't recall that specific discussion. Could you remind me of the details?" This limitation forces users to constantly re-explain things, leading to frustrating interactions. MCP aims to solve this by creating a structured method for maintaining and accessing context.

Some Analogies

1. GPS Navigation

Traditional AI context management is like giving someone directions one turn at a time, without showing them the full map. If they forget a step, the journey breaks down.

MCP is like a GPS navigation system that:

• Knows your destination
• Remembers your preferred routes
• Adjusts based on real-time conditions
• Always knows exactly where you are in the journey

Do make Pull Requests to contribute to this asset ✨