by Davidyz · MCP Server · ★ 816
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
VectorCode 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. Why VectorCode? Documentation About Versioning TODOs Credit Special Thanks Star History Why VectorCode? 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 ca
| Stars | 816 |
| Forks | 44 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.1782095714229/100 |
| Open Issues | 16 |
| Last Updated | 2026-02-23 |
| Created | 2025-01-11 |
| Platforms | mcp, python |
| Est. Tokens | ~161k |
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VectorCode is A code repository indexing tool to supercharge your LLM experience.. It is categorized as a MCP Server with 816 GitHub stars.
VectorCode is primarily written in Python. It covers topics such as embeddings, mcp, mcp-server.
You can find installation instructions and usage details in the VectorCode GitHub repository at github.com/Davidyz/VectorCode. The project has 816 stars and 44 forks, indicating an active community.
VectorCode is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to VectorCode on Agent Skills Hub include octocode, rust-docs-mcp-server, code-graph-rag. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.