Orama Hybrid Search Query Builder

Orama Hybrid Search Query Builder MCP Connector for Claude

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Generate syntactically perfect Orama search payloads with deterministic JSON structure.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Orama Hybrid Search Query Builder acts as a specialized bridge for AI agents to interact with the Orama search engine. It solves the complex problem of constructing nested, hierarchical JSON payloads required by Orama's 'where' clause syntax. By providing a flat dictionary of filters, this MCP server uses deterministic V8 object mapping to transform simple key-value pairs into precise comparison operators like eq, gt, and lt. This ensures that agents can perform advanced filtering—such as range queries on prices or dates—without the risk of generating invalid syntax. Use build_orama_query to generate your payload, validate_filter_syntax to check for errors before construction, and get_operator_mapping_summary to understand the supported operator tiers.

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3 tools expose this connector's capabilities to your AI agent.

build_orama_query

Constructs a nested JSON object for Orama

get_operator_mapping_summary

Returns a summary of Orama operator mapping rules

validate_filter_syntax

Validates the syntax of a filter dictionary

See how to talk to your AI agent using Orama Hybrid Search Query Builder.

Build an Orama query for 'running shoes' with a price less than 100 and category as 'sports'.

{ "term": "running shoes", "properties": [], "where": { "price": { "lt": 100 }, "category": { "eq": "sports" } } }

Check if this filter dictionary is valid: {"brand": "Nike", "rating": {"gt": 4}}

The syntax is valid. The filters will be mapped to `eq` for brand and `gt` for rating.

Show me the supported operators in Orama.

The supported operators are: `eq`, `gt`, and `lt`.

It automates the creation of complex, nested JSON payloads for Orama search queries, ensuring syntactical correctness using `build_orama_query`.

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