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Connect Orama Hybrid Search Query Builder to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Generate precise Orama search payloads without syntax errors.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Orama Search Engine.

  1. 01

    Build orama query

    This capability constructs the full, nested JSON object required for an Orama search operation.

  2. 02

    Get operator mapping summary

    This capability provides a breakdown of the specific Orama operator mapping rules available for your queries.

  3. 03

    Validate filter syntax

    This capability checks your filter dictionary for errors before you attempt to build a final query.

Real work

What teams actually run

01

E-commerce Filtering

An agent builds queries to find products within specific price ranges or categories.

02

Automated Search Debugging

Developers use the validation capability to verify filter logic before deployment.

03

Agentic Search Operations

An AI client uses the builder to navigate large datasets via structured search terms.

04

Data Query Automation

Automated workflows generate precise search payloads based on user input.

One connector, every AI

Orama Search Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Orama Search Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

748ms average. Fast in production.

Orama Search Engine is checked daily against the live service.

Daily averagePeak 1107ms
Oct 3Today
Fastest day
584ms
Slowest day
1107ms
14-day trend
Improving-15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Orama Search Engine, so you can see the experience inside your AI.

It does not authenticate your account with Orama Search Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Orama Search Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_BQ7O5IoM6rjvkdusKaOa2Mt3EgaF6wXmj0IWNjuL/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Orama Search Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "orama-hybrid-search-query-builder-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BQ7O5IoM6rjvkdusKaOa2Mt3EgaF6wXmj0IWNjuL/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Orama Search Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Orama Search Engine owners hand off.

This MCP is built for developers and engineers who need to give their AI agents direct control over Orama search indexes.

  • 01

    Software Engineers

    They hand off complex query construction tasks to the agent to save time on manual JSON writing.

  • 02

    AI Agents/Developers

    They use the capability to ensure every search request sent to the index is syntactically correct.

  • 03

    Data Engineers

    They use the mapping summary to understand how filters will be interpreted by the engine.

FAQ

Questions Orama Search Engine owners ask.

  • 01

    What does this MCP actually do?

    It builds the specific, nested JSON payloads that the Orama search engine requires for filtering and searching.

  • 02

    Can I use this with Claude or Cursor?

    Yes, any MCP-compatible client like Claude, Cursor, or Windsurf can use this capability once connected via Vinkius.

  • 03

    How does it handle price ranges?

    It maps simple filter requests to operators like lt (less than) and gt (greater than) to create valid range queries.

  • 04

    Do I need to write the JSON myself?

    No, you give the agent the filter criteria, and the build_orama_query capability generates the JSON for you.

  • 05

    How do I know if my filter is correct?

    You can use the validate_filter_syntax capability to check your filter dictionary before the query is built.

  • 06

    What is the main purpose of this MCP server?

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

  • 07

    How can I ensure my filter dictionary is valid?

    You should use the validate_filter_syntax capability to check your dictionary for any unsupported types or invalid characters before attempting to build a query.

  • 08

    What operators are supported for filtering?

    The server supports eq (equality), gt (greater than), and lt (less than) through its deterministic mapping logic.

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