Is the VectorCode MCP server actively maintained?

The VectorCode MCP server was last committed 8mo ago and has 16 contributors. Issue health: 78% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

VectorCode MCP Server

Name: Davidyz/VectorCode
Rating: 3.7 (1 reviews)
Author: Davidyz

Davidyz/VectorCode

Score: 66.8 Rank #4720 Search & RAG

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A code repository indexing tool to supercharge your LLM experience.

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Overview

Davidyz/VectorCode is a Python tool licensed under MIT. A code repository indexing tool to supercharge your LLM experience. Topics: neovim-plugin, retrieval-augmented, embeddings, rag, mcp, mcp-server.

Ranked #4720 out of 24846 indexed tools.

Has 16 contributors.

Ecosystem

Python MIT 194 pypi/wk

neovim-pluginretrieval-augmentedembeddingsragmcpmcp-server

Score Breakdown

Stars 15% 876

876 stars → growing community

Freshness 25% 8mo ago

Last commit 8mo ago → stale

Issue Health 25% 78%

67/86 issues closed → decent issue management

Contributors 10% 16

16 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 194/wk

194 weekly installs → early adoption

Forks 51

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 261 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 876
Forks: 51
Open Issues: 19
Closed Issues: 67
Contributors: 16
Dependents: —
Language: Python
License: MIT
Last Commit: 8mo ago

Matched Queries

topic:mcptopic:mcp-server

From the README

# 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?](#why-vectorcode)
* [Documentation](#documentation)
  * [About Versioning](#about-versioning)
* [TODOs](#todos)
* [Credit](#credit)
  * [Special Thanks](#special-thanks)
* [Star History](#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 quit

Read full README on GitHub →