by Davidyz
A code repository indexing tool to supercharge your LLM experience.
# Add to your Claude Code skills
git clone https://github.com/Davidyz/VectorCodeGuides for using mcp servers skills like VectorCode.
Last scanned: 5/4/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-04T06:42:11.281Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}VectorCode is a code repository indexing tool. It helps you build better prompt for your coding LLMs by indexing and providing information about the code repository you're working on. This repository also contains the corresponding neovim plugin that provides a set of APIs for you to build or enhance AI plugins, and integrations for some of the popular plugins.
[!NOTE] This project is in beta quality and is undergoing rapid iterations. I know there are plenty of rooms for improvements, and any help is welcomed.
LLMs usually have very limited understanding about close-source projects, projects that are not well-known, and cutting edge developments that have not made it into releases. Their capabilities on these projects are quite limited. With VectorCode, you can easily (and programmatically) inject task-relevant context from the project into the prompt. This significantly improves the quality of the model output and reduce hallucination.
[!NOTE] The documentation on the
mainbranch reflects the code on the latest commit. To check for the documentation for the version you're using, you can check out the corresponding tags.
If you're trying to contribute to this project, take a look at the contribution guide, which contains information about some basic guidelines that you should follow and tips that you may find helpful.
This project follows an adapted semantic versioning:
"vectorcode<0.7.0";.gitignore;.git or a custom
.vectorcode.json) that enhances automatic project-root detection.
Implemented project-level .vectorcode/ and .git as root anchorVectorCode is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Davidyz. A code repository indexing tool to supercharge your LLM experience. It has 871 GitHub stars.
Yes. VectorCode passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Davidyz/VectorCode" and add it to your Claude Code skills directory (see the Installation section above).
VectorCode is primarily written in Python. It is open-source under Davidyz on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh VectorCode against similar tools.
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