Vectorcode

VectorCode is a code repository indexing tool designed to optimize the prompt construction of large programming language models (LLMs) by indexing and providing code repository information. It supports multiple embedding engines, provides command - line tools and Neovim plugins to help developers more efficiently use project context to improve the quality of model output.

Developer tools Knowledge management and memory #Code Indexing #LLM Optimization #Neovim Plugin #Vector Database .Python

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downloads : 323

update time : 2025-04-28

What is the MCP server?

The MCP server is a tool for managing and injecting context information, which can help AI models better understand and process specific tasks. Through the MCP server, you can easily inject project - related code, files, and data into the context of the AI model, thereby improving the accuracy and efficiency of the model.

How to use the MCP server?

First, you need to install and configure the MCP server. Then, through simple commands or API interfaces, you can inject the project's code and data into the model's context. Finally, when performing tasks, the MCP server will automatically load the relevant context to improve the model's performance.

Applicable scenarios

The MCP server is particularly suitable for handling complex projects, closed - source software development, and cutting - edge technology research. It can significantly improve the performance of AI models in these fields and reduce errors and omissions.

Main Features

Context InjectionSupports injecting project code, files, and other data into the context of the AI model.

Intelligent RetrievalQuickly retrieve relevant content in the project based on file paths or other conditions.

Multi - language SupportSupports code parsing and context management for multiple programming languages.

Advantages and Limitations

Advantages

Improve the accuracy and efficiency of AI models

Support complex projects and cutting - edge technologies

Easy to integrate and use

Limitations

Requires a certain configuration and initialization process

May require more computing resources for large - scale projects

How to Use

Install the MCP server

Download and install the MCP server, ensuring that the environment meets the operating requirements.

Configure the project

Use commands to inject the project code into the MCP server.

Execute tasks

When executing tasks, the MCP server will automatically load the relevant context.

Usage Examples

Case 1: Code CompletionWhen writing code, the MCP server can provide context support to help complete the code.

Case 2: Debugging AssistanceDuring the debugging process, the MCP server can load relevant context to help locate problems.

Frequently Asked Questions

How to install the MCP server?

Which programming languages does the MCP server support?

How to uninstall the MCP server?

Related Resources

Official Documentation

Detailed usage guides and technical documentation.

GitHub Repository

Open - source code and contribution guidelines.

Discussion Area

Community discussions and technical exchanges.

🚀 VectorCode - A Coding Tool

VectorCode is a code repository indexing tool that helps inject context information into your coding LLM through better prompts, enabling it to better understand the code repository you're working on.

VectorCode is a code repository indexing tool. It helps you inject context information into your coding LLM by constructing better prompts, so that it can better understand the code repository you are working on. This repository also includes a corresponding Neovim plugin since that's the environment I used to write this tool.

⚠️ Important Note

This project is in the beta stage and only implements some basic retrieval and embedding functions. There is still much room for improvement, and any help is welcome!

💡 Usage Tip

Chromadb (https://www.trychroma.com/), the vector database backend behind this project, supports multiple embedding engines. I developed this tool using SentenceTransformer. If you encounter issues with different embedding functions, please open an issue (or even better, submit a pull request :D).

✨ Why VectorCode?

📚 Documentation

cli.md: Documentation for the command-line interface.
neovim.md: Documentation for the Neovim plugin.

📋 To-Do List

[x] Support closed-source projects.
[x] Support LLM context injection.
[ ] Implement code snippet retrieval.
[ ] Support multiple programming languages.

🙏 Acknowledgments

Thanks to @milanglacier (and their minuet-ai.nvim) for their support during the early stages of the project.
Thanks to @olimorris personally and from codecompanion.nvim for their help when this project first attempted tool invocation.
Thanks to @ravitemer for helping to interface VectorCode with MCP.