VectorStoreAgent

A specialized agent for Qdrant vector storage and embedding systems in the MCP Codebase Insight project. Qdrant stores searchable data points, while embeddings represent content as numbers for similarity searches.

In plain words
What is it for?
It is for tasks involving Qdrant, embeddings, and related parts of the MCP Codebase Insight project.
Why use it?
It gives work involving the project's stored vector data and embeddings a focused set of instructions or expertise.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/tosin2013/mcp-codebase-insight/vectorstoreagent
Clone the repo
git clone --depth 1 https://github.com/tosin2013/mcp-codebase-insight
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,703 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01703
Opus 5 $0.00000 $0.00851
Sonnet 5 $0.00000 $0.00341
Haiku 4.5 $0.00000 $0.00170

Measured 2d ago against content hash ed3f9c09a454, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

VectorStoreAgent scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:6333/collections
.github/agents/VectorStoreAgent.agent.md · 282 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 282 lines · 0 tokens per session scan A ed3f9c09a454

Subscribe to this mod's changes

VectorStoreAgent is an agent published in the GitHub repository tosin2013/mcp-codebase-insight (12 stars, last pushed 9mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,703 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.