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MCP server · Search

Vectr

Semantic codebase search + persistent working memory for AI code editors. Local, no API key.

Unclaimed search
37Low

Scored 3 months ago · breakdown

About Vectr

Vectr is an MCP server published by swapnanil in the Search category: semantic codebase search + persistent working memory for AI code editors. Local, no API key.

The repository has 2 stars and 1 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

uvx
uvx vectr
pip
pip install vectr

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (3)

vectr_locate~192

Parameters not published.

vectr_search~2,320

Parameters not published.

vectr_trace~720

Parameters not published.

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Security checks

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Questions

About Vectr

How do I install Vectr?

Run uvx vectr, then add the server to your MCP client's configuration.

Is Vectr safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Vectr still maintained?

Yes — the last commit was a month ago. The repository has 2 stars and 1 forks.