What is vector-mcp AGENTS.md?

A repository instruction file for vector-mcp, an MCP server that lets agents use tools and vector databases for searching stored information. It documents the project’s Python stack, architecture, diagrams, and required commands.

Use it when working on vector-mcp to understand its server, agent, skills, retrieval, and vector-database components, plus the commands and workflows the project expects.

It gives coding agents project-specific rules and structure so they can modify the repository consistently.

How craftingcodegig/vector-mcp configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to craftingcodegig/vector-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/craftingcodegig/vector-mcp/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/craftingcodegig/vector-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/craftingcodegig/vector-mcp/agents-md/github.svg)](https://agentmods.dev/instructions/craftingcodegig/vector-mcp/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/craftingcodegig/vector-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/craftingcodegig/vector-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/craftingcodegig/vector-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/craftingcodegig/vector-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,938 This file is loaded in full into every session.

When invoked 2,938 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.02938	$0.02938
Opus 5.5	$0.01175	$0.01175
Sonnet 5.5	$0.00588	$0.00588
Haiku 4.5	$0.00294	$0.00294

Measured 1mo ago against content hash 57a5c22ed14c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vector-mcp AGENTS.md scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to vector-mcp AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 308 lines

How it starts

The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Claude Code loads this file via CLAUDE.md (@AGENTS.md import) — the two stay in sync. Edit this file, not CLAUDE.md.

Tech Stack & Architecture

Language/Version: Python 3.10+
Core Libraries: agent-utilities, fastmcp, pydantic-ai
Key principles: Functional patterns, Pydantic for data validation, asynchronous tool execution.
Architecture:
- mcp_server.py: Main MCP server entry point and tool registration.
- agent.py: Pydantic AI agent definition and logic.
- skills/: Directory containing modular agent skills (if applicable).
- vectordb/: Vector database implementations for multiple backends.
- retriever/: Retriever implementations for each backend.

Architecture Diagram

graph TD
    User([User/A2A]) --> Server[A2A Server / FastAPI]
    Server --> Agent[Pydantic AI Agent]
    Agent --> Skills[Modular Skills]
    Agent --> MCP[MCP Server / FastMCP]
    MCP --> VectorDB[Vector Database Layer]
    VectorDB --> Backend[Backend Implementation]
    Backend --> Storage[(Vector Storage)]

Workflow Diagram

sequenceDiagram
    participant U as User
    participant S as Server
    participant A as Agent
    participant T as MCP Tool
    participant V as VectorDB
    participant B as Backend

    U->>S: Request
    S->>A: Process Query
    A->>T: Invoke Tool
    T->>V: VectorDB Operation
    V->>B: Backend Call
    B-->>V: Backend Response
    V-->>T: VectorDB Result
    T-->>A: Tool Result
    A-->>S: Final Response
    S-->>U: Output

Commands (run these exactly)

Installation

pip install .[all]

Quality & Linting (run from project root)

pre-commit run --all-files

Execution Commands

vector-mcp\nvector_mcp.mcp:mcp_server\n# vector-agent\nvector_mcp.agent:agent_server

Testing

Start test databases

podman-compose -f docker-compose.test.yml up -d

Run all tests

python -m pytest tests/test_all_backends.py -v

Run specific backend tests

python -m pytest tests/test_all_backends.py -k chromadb -v python -m pytest tests/test_all_backends.py -k postgres -v python -m pytest tests/test_all_backends.py -k mongodb -v python -m pytest tests/test_all_backends.py -k qdrant -v python -m pytest tests/test_all_backends.py -k couchbase -v

Read the full file on GitHub · 308 lines

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.

1mo ago First seen · 308 lines · 2,938 tokens per session scan A 57a5c22ed14c

Subscribe to this mod's changes

vector-mcp AGENTS.md is an instructions file published in the GitHub repository craftingcodegig/vector-mcp (11 stars, last pushed 3mo ago), licensed MIT. It adds 2,938 tokens to every session, about $0.0118 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to vector-mcp AGENTS.md, differing in 0 lines, and is treated as a copy.

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,649 tokens

vector-mcp: Instructions file for Codex