Integration

Orama integration

Fast, AI-powered search engine and RAG pipeline supporting full-text, vector, and hybrid search. Orama Cloud provides managed search indexes with automatic embeddings, semantic search, faceted filtering, and AI-powered answer sessions. Perfect for e-commerce search, documentation sites, and AI-powered knowledge retrieval.

Connect Orama How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Orama.Built from the 11 Orama tools below, on the connection you add once.

Common Orama use cases

complete data refresh
e-commerce product search
documentation search
semantic content discovery
full catalog sync
search optimization
monitoring sync status
natural language queries
e-commerce filter sidebar
real-time product updates

What you can do with Orama

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Document, 7 operations

hybrid_searchHybrid searchPOSTPerforms hybrid search combining full-text keyword matching with semantic vector search.
notify_removeNotify removePOSTRemoves documents from an Orama index by their IDs. Changes are queued until deployment.
notify_upsertNotify upsertPOSTUpserts documents into an Orama index. Updates existing documents or inserts new ones based on the id field.
searchSearchPOSTSearches an Orama Cloud index using full-text, vector, or hybrid search modes. Returns ranked results with scores and optional facet aggregations.
search_with_facetsSearch with facetsPOSTPerforms search with faceted aggregations for building filter interfaces.
snapshotSnapshotPOSTReplaces the entire index with a new set of documents. Queues the snapshot until deploy is called.
vector_searchVector searchPOSTPerforms semantic search using vector embeddings for meaning-based document matching.

Analytics, 1 operation

analytics_getAnalytics getGETRetrieves search analytics including query volume, popular searches, and zero-result queries.

Deployment, 1 operation

deployDeployPOSTTriggers deployment of pending index changes, making upserts, removes, and snapshots live.

Index, 1 operation

clearClearPOSTClears all documents from an Orama index, making it empty after deployment.

Operation, 1 operation

has_pending_operationsHas pending operationsGETChecks if an index has pending changes waiting to be deployed.

Use Orama from Claude Code, Cursor or Codex

Connect Orama in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Orama operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Orama

Create your workspace
Sign up free. Nothing to install.
Connect Orama once
Add your Orama connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Orama integration FAQ

What can you do with the Orama integration?

LiveContext exposes 11 operations on Orama, covering document, analytics, deployment and index. Common uses include complete data refresh, e-commerce product search and documentation search.