MCP Llm
An MCP server based on the LlamaIndexTS library, providing multiple LLM tool functions
rating : 2.5 points
downloads : 7.1K
What is the MCP LLM Server?
The MCP LLM Server is a powerful tool that provides access to large language models (LLMs) through the Model Context Protocol (MCP). You can use it to generate code, write documentation, answer questions, and perform other complex tasks.How to use the MCP LLM Server?
Simply set up the server by following the simple installation steps and then send requests to start using it. Both developers and beginners can easily get started.Applicable Scenarios
Suitable for professionals and teams in fields that require automated programming, code optimization, knowledge Q&A, etc.Main Features
Generate Code
Generate code in a specified language based on a description.
Generate Code to File
Write the generated code directly to a specific line in a specific file.
Generate Documentation
Generate detailed documentation for existing code.
Answer Questions
Use the LLM to answer questions posed by users.
Advantages
Support for multi - language code generation
Integration of multiple large - model capabilities
Easy to install and configure
Limitations
May require high - performance hardware support
Some advanced features may be charged
How to Use
Install Dependencies
Ensure that your system has the Node.js environment installed.
Build the Project
Compile the code to prepare for running the server.
Start the Server
Run the server script to make it available.
Usage Examples
Generate a Factorial Function
Demonstrate how to generate a JavaScript function to calculate factorial.
Answer a Programming Question
Show how to answer a question about JavaScript variable declarations.
Frequently Asked Questions
How to install the MCP LLM Server?
Which programming languages are supported?
Can the service be used offline?
Related Resources
Official Documentation
Get more information about the MCP LLM Server.
GitHub Repository
View the source code and contribute.
Example Script
Learn how to call the MCP LLM through a script.

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