MCP-studies

MCP-studies is an implementation of the Model Context Protocol (MCP), designed to facilitate standardized interactions between applications and large language models (LLMs). By providing a structured way to supply context, this server empowers developers to enhance the performance and efficiency of their applications, making it easier to leverage LLMs for tasks such as natural language processing and data retrieval.

Once connected to the MCP-studies server, you can send context-rich queries to interact with the LLM effectively. Use the provided endpoints to submit your context data and retrieve relevant responses from the model. It's best to structure your queries to include clear and concise context to maximize the accuracy and relevance of the results you receive.

Prerequisites

Ensure you have Node.js installed on your machine. You can download it from nodejs.org.

Option A: Quick start with npx

If you want to quickly test MCP-studies without local installation, you can use the following command:

npx -y git+https://github.com/viniciusfinger/MCP-studies.git  

Option B: Global install alternative

To install MCP-studies globally, clone the repository and install the dependencies:

git clone https://github.com/viniciusfinger/MCP-studies.git  
cd MCP-studies  
npm install  

After installation, you can run the server using:

npm start  

When configuring MCP-studies, ensure that your environment variables are set correctly to define the model parameters and context settings. Common issues may arise from improper context formatting, so always validate your input data before sending requests.