# Vector Search Workflows

> Vector search indexing and querying workflows using MCP Vector Search, including setup, reindexing, auto-index strategies, and MCP integration.

- Skill: `bobmatnyc/vector-search-workflows` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add bobmatnyc/vector-search-workflows`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bobmatnyc/vector-search-workflows/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: bobmatnyc (https://skillmd.com/u/bobmatnyc)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/bobmatnyc/vector-search-workflows

---


# Vector Search Workflows (MCP Vector Search)

## Overview

Use `mcp-vector-search` to index codebases into ChromaDB and search via semantic embeddings. The recommended flow is `setup` (init + index + MCP integration), then `search`, and use `index` or `auto-index` to keep data fresh.

## Quick Start

```bash
pip install mcp-vector-search
mcp-vector-search setup
mcp-vector-search search "authentication logic"
```

`setup` detects languages, initializes config, indexes the repo, and configures MCP integrations (Claude Code, Cursor, etc.).

## Core Commands

### Indexing

```bash
mcp-vector-search index
mcp-vector-search index --force
mcp-vector-search index reindex --all --force
mcp-vector-search index reindex path/to/file.py
```

### Auto-Index Strategies

```bash
mcp-vector-search auto-index setup --method all
mcp-vector-search auto-index status
mcp-vector-search auto-index check --auto-reindex --max-files 10
mcp-vector-search auto-index teardown --method all
```

### Search

```bash
mcp-vector-search search "error handling patterns"
mcp-vector-search search "vector store initialization"
```

### Status + Doctor

```bash
mcp-vector-search status
mcp-vector-search doctor
```

## MCP Integration Pattern

`setup` uses native `claude mcp add` when available, otherwise falls back to `.mcp.json`.

Typical `.mcp.json` entry:

```json
{
  "mcpServers": {
    "mcp-vector-search": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "mcp-vector-search", "mcp"],
      "env": {
        "MCP_ENABLE_FILE_WATCHING": "true"
      }
    }
  }
}
```

## Reindex Triggers

- Dependency updates or parser changes
- Large refactors
- Adding new languages or file extensions
- Tool upgrades (version tracking triggers reindex)

## Local Patterns

- Use `uv` for dev installs: `uv sync --dev`
- Use `setup --force` to rebuild config + index after tool upgrades
- Keep file watching on via `MCP_ENABLE_FILE_WATCHING=true`

## Related Skills

- `toolchains/ai/protocols/model-context`
- `universal/main/model-context-builder`