# MongoDB Search And AI

Build Atlas Search, Vector Search, and hybrid search flows\.

Canonical: https://claudelist.com/listings/skill-mongodb-agent-skills-mongodb-search-and-ai

Category: Skills

Source: vendor · MongoDB

Source checked: 2026-10-14

Website: https://github.com/mongodb/agent-skills/tree/main/skills/mongodb-search-and-ai

Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.

## Install or set up

1. Review this skill’s `SKILL.md` and any prerequisites at the source.
2. From the project where you use Claude Code, run the command below. It installs only this skill into project scope; add `-g` for your personal scope.
3. Restart Claude Code and invoke `/mongodb-search-and-ai` or ask Claude to use the skill. If it does not appear, check `.claude/skills/` and the source’s setup notes.

```sh
npx skills add https://github.com/mongodb/agent-skills/tree/main/skills/mongodb-search-and-ai --agent claude-code
```

Installation guide: https://github.com/mongodb/agent-skills/tree/main/skills/mongodb-search-and-ai