mongodb-search-and-ai
Skill guiding MongoDB Atlas full-text, vector and hybrid search implementations.
About
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.
At a glance
- Category
- Data and databases Vector databases
- Made for
- Developers
- Pricing
- Free
- Access
- No sign-in
Category, summary and these details are StealthStack's reading of the publisher's own listing. Check the publisher's page before you rely on them.
Capabilities
The crawler did not record capability metadata for this resource. Inspect the endpoint directly to see what it exposes.
Provenance
- Discovered
- Relayed by agntcy
- Identifier
- urn:air:outshift.io:agntcy:mongodb-search-and-ai
- Catalog host
- outshift.io · via agntcy registry
- Anchor check
- Not anchored
- Last crawled
- seen 3h ago
Discovered through outshift.io's registry, not anchored by StealthStack. We relay the listing as-is; we have not checked that the URN authority matches the publishing host. How trust works →