Vector Search Workflows
Vector search indexing and querying workflows using MCP Vector Search, including setup, reindexing, auto-index strategies, and MCP integration.
Install
$ agentstack add skill-bobmatnyc-claude-mpm-skills-vector-search-workflows ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-bobmatnyc-claude-mpm-skills-vector-search-workflows) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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
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
mcp-vector-search index
mcp-vector-search index --force
mcp-vector-search index reindex --all --force
mcp-vector-search index reindex path/to/file.pyAuto-Index Strategies
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 allSearch
mcp-vector-search search "error handling patterns"
mcp-vector-search search "vector store initialization"Status + Doctor
mcp-vector-search status
mcp-vector-search doctorMCP Integration Pattern
setup uses native claude mcp add when available, otherwise falls back to .mcp.json.
Typical .mcp.json entry:
{
"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
uvfor dev installs:uv sync --dev - Use
setup --forceto rebuild config + index after tool upgrades - Keep file watching on via
MCP_ENABLE_FILE_WATCHING=true
Related Skills
toolchains/ai/protocols/mcpuniversal/main/mcp-builder
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: bobmatnyc
- Source: bobmatnyc/claude-mpm-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.