mongodb-search-and-ai
mongodb-search-and-ai is an agent skill published by mongodb, listed under building agents. It lives in the mongodb/agent-skills repository, which has 191 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-10-18.
This repository guides MongoDB users in implementing and optimizing Atlas Search, Vector Search, and Hybrid Search solutions for text-based queries, semantic similarity, and combined approaches. It provides workflows for selecting search types, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads mongodb/agent-skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add mongodb/agent-skills
Maintenance
Covers everything about search in MongoDB: Atlas Search (full-text), Vector Search (semantic), and Hybrid Search. Use this skill for ANY question about MongoDB search, including open-ended and explanatory ones asked before the user has any data or use case — 'how does search work in MongoDB?', 'I'm new to MongoDB search, where do I start?', 'what's the difference between Atlas Search and Vector Search?', 'which search type should I use?', 'what is vector search?', 'how does automated embedding work?', 'can you explain hybrid search?'. Do not answer these from general knowledge; use this skill. Also use to build search features: full-text queries, autocomplete, fuzzy matching, faceted search, semantic similarity, embeddings, RAG, text containment or substring matching ('contains', 'includes'), case-insensitive or multi-field text search, and filtering across many fields. Provides workflows for choosing a search type, creating indexes, writing queries, and optimizing performance via the MongoDB MCP server.
mongodb-search-and-ai compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| mongodb-search-and-ai (this page) | mongodb | Covers everything about search in MongoDB: Atlas Search (full-text), Vector Search (semantic), and Hybrid Sea… | 191 | 2026-10-25 |
| review-skill(same repository) | mongodb | Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-v… | 191 | 2026-10-25 |
| claude-handoff | mattpocock | Hand the current conversation off to a fresh background agent that picks up the work immediately. | 303,549 | 2026-10-22 |
| context-engineering | addyosmani | Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when swit… | 110,611 | 2026-10-13 |
| using-agent-skills | addyosmani | Discovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or wo… | 110,611 | 2026-10-13 |
| agent-platform-inference | Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemin… | 21,580 | 2026-10-25 | |
| agent-platform-skill-registry | Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills.… | 21,580 | 2026-10-25 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about mongodb-search-and-ai
- What does mongodb-search-and-ai do?
- This repository guides MongoDB users in implementing and optimizing Atlas Search, Vector Search, and Hybrid Search solutions for text-based queries, semantic similarity, and combined approaches. It provides workflows for selecting search types, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
- How do I install mongodb-search-and-ai?
- Run npx skills add mongodb/agent-skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes mongodb-search-and-ai?
- mongodb.
- Is mongodb-search-and-ai maintained, and what licence does it use?
- Its repository has 191 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-25. The repository declares the Apache-2.0 licence.
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