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    Mixpeek Connectors

    Pre-built integrations to connect Mixpeek with your existing infrastructure

    34 open source connectors available

    header bidding

    Prebid.js RTD Adapter

    Privacy-first contextual targeting for header bidding

    A Real-Time Data (RTD) module for Prebid.js that replaces cookie-based targeting with contextual signals delivered in under 100ms. Enables multimodal content understanding for ad targeting without user tracking.

    • -Sub-100ms latency for header bidding
    • -Multimodal content analysis (text, images, video)
    • -IAB v3.0 taxonomy classification
    • +3 more
    @mixpeek/prebid(npm)
    taxonomy

    IAB Content Taxonomy Mapper

    Migrate content taxonomy from IAB 2.x to 3.0

    A local processing tool that migrates content categorization from IAB 2.x standards to IAB 3.0 format. Converts existing taxonomy codes into OpenRTB and VAST-ready category IDs with optional semantic enrichment using embeddings and LLM re-ranking.

    • -Deterministic and fuzzy string matching
    • -Multi-category output per input record
    • -Local-first processing (no external APIs required)
    • +3 more
    iab-mapper(pypi)
    cms

    Strapi Plugin

    Open-source CMS connector for content intelligence

    Add multimodal content intelligence to your Strapi CMS with this plugin. It hooks into Strapi's lifecycle events to automatically process content through Mixpeek, enriching entries with taxonomy labels, embeddings, and structured metadata as content is created and updated.

    • -Lifecycle hook integration for auto-enrichment
    • -Content-type builder field mapping
    • -Admin panel UI for configuration
    • +2 more
    @mixpeek/strapi(npm)
    healthcare

    FHIR R4 Connector

    Enrich clinical resources with multimodal AI

    A zero-dependency connector that extracts text from FHIR R4 clinical resources and enriches them with Mixpeek's multimodal AI. Supports Patient, Observation, Condition, DocumentReference, DiagnosticReport, Encounter, and MedicationRequest resources with automatic fallback to narrative text for all other types. Returns enrichment as FHIR-compatible extensions and meta tags.

    • -Dedicated extractors for 7 core FHIR resource types
    • -FHIR-compatible enrichment via extensions and meta tags
    • -Automatic narrative text fallback for unsupported resource types
    • +3 more
    @mixpeek/fhir(npm)
    ai ml

    React SearchKit

    Composable React components for multimodal search

    A React component library for building multimodal search experiences. Drop in the full SearchKit widget or compose individual pieces — stages streaming, AI answers, filters, and theming included. Connects to any published Mixpeek retriever.

    • -Full search widget with Cmd+K modal or inline embed
    • -Stages streaming — watch results flow through search → rerank → enrich in real time
    • -AI-generated answers with citations
    • +3 more
    @mixpeek/react-searchkit(npm)
    header bidding

    Prebid Server RTD Module

    Server-side contextual enrichment for Prebid Server

    A Node.js reference implementation for server-side OpenRTB bid request enrichment with Mixpeek's contextual signals. Provides spec-aligned field mappings identical to the Go-based Prebid Server data provider, enabling privacy-first contextual targeting without cookies or user tracking.

    • -Spec-aligned OpenRTB 2.6 field mappings
    • -Local testing harness without PBS deployment
    • -Privacy-first with no cookies or user tracking
    • +3 more
    @mixpeek/prebid-server(npm)
    header bidding

    OpenRTB Enrichment Connector

    Contextual AI signals for programmatic bid requests

    Enriches programmatic ad bid requests with contextual AI signals without user tracking. Processes OpenRTB requests through multimodal AI to deliver standardized enrichments in OpenRTB 2.5/2.6/3.0 formats with sub-200ms response times.

    • -Privacy-first contextual signals without PII
    • -Sub-200ms real-time processing for RTB
    • -Multimodal AI analysis (text, images, video)
    • +3 more
    @mixpeek/openrtb(npm)
    analytics

    Cloudflare Workers Connector

    Edge-deployed content intelligence for advertising and analytics

    A shared content intelligence layer deployed at Cloudflare's edge that provides cached content profiles for advertising, analytics, and personalization systems. Implements a 'one analysis → many consumers' model where content understanding happens once at the edge, then distributes to multiple downstream systems.

    • -Edge-first processing at Cloudflare infrastructure
    • -Cloudflare KV caching for instant profile retrieval
    • -Multi-format output (GAM, OpenRTB, Analytics, JSON)
    • +3 more
    header bidding

    Google Ad Manager Connector

    Privacy-safe GPT targeting signals from page content

    A client-side utility that transforms page content into Google Publisher Tag (GPT) compatible targeting signals without cookies, user IDs, or auction latency. Generates custom targeting keys for IAB categories, sentiment, brand safety, and content depth that work with existing line items.

    • -IAB Taxonomy v3.0 and v2.2 category signals
    • -Sentiment analysis (positive/neutral/negative)
    • -Four-tier brand suitability classification
    • +3 more
    @mixpeek/google-ad-manager(npm)
    analytics

    n8n Workflow Connector

    Multimodal AI processing for workflow automation

    Transform URLs, text, images, and video into structured signals inside n8n workflows. Enables classification, semantic search, clustering, and ML inference on unstructured data with the pattern: Input → Mixpeek → Structured signals → Any system.

    • -Auto-tagging of URLs, files, and media
    • -Semantic search across documents and video
    • -Content moderation and safety signals
    • +3 more
    @mixpeek/n8n-nodes-mixpeek(npm)
    data pipeline

    Apache Kafka Connector

    Real-time event streaming for multimodal pipelines

    Stream unstructured data through Mixpeek's multimodal processing engine using Apache Kafka. This connector enables real-time ingestion and enrichment of text, images, video, and audio events at scale, turning high-throughput Kafka topics into structured, searchable intelligence.

    • -Consumer group integration for parallel processing
    • -Automatic schema detection for multimodal payloads
    • -Dead-letter queue support for failed enrichments
    • +3 more
    @mixpeek/kafka(npm)
    data pipeline

    Apache Airflow Operator

    Workflow orchestration for Mixpeek pipelines

    Orchestrate multimodal data processing workflows with native Apache Airflow operators for Mixpeek. Schedule batch enrichment jobs, manage dependencies between ingestion and retrieval tasks, and monitor pipeline health directly from the Airflow UI.

    • -Native Airflow operators for Mixpeek API actions
    • -Sensors for batch job completion monitoring
    • -Connection management via Airflow's secrets backend
    • +2 more
    @mixpeek/airflow(npm)
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    What are Mixpeek Connectors?

    Connectors are pre-built integrations that allow you to seamlessly incorporate Mixpeek's multimodal capabilities into your existing infrastructure and workflows.

    Drop-In Integration

    Install via npm or pip and configure with a few lines of code. No complex setup required.

    Production Ready

    Battle-tested connectors optimized for latency, reliability, and scale in production environments.

    Open Source

    All connectors are open source. Inspect the code, contribute improvements, or fork for custom needs.