AI Connectors
Take a look at a selection of our AI connectors that can instantly integrate with hundreds of other data sources in our Connector Library.
For AI Service Companies
Leverage AI tools to enhance your clients and your own data workflows across multiple applications and data sources
Wrangling AI with Cyclr
Cyclr is designed with flexibility and scalability in mind, making it the ideal solution for businesses looking to integrate AI workflows without the overhead of building from scratch. It supports multiple tenants, allowing organizations to manage different clients or departments within a single platform.
With Custom connectors you can seamlessly integrate with any system, including proprietary tools, ensuring a truly tailored solution.
To handle varying data loads and avoid bottlenecks, Cyclr includes Custom rate limiting, giving teams full control over usage and performance.
And best of all, its low-code developer tools empower non-developers to build and deploy AI workflows quickly—reducing development time and lowering the barrier to entry.
Securely Combine External App Data with AI Models
AIs potential for analyzing, refining and augmenting large datasets is extremely promising. However often there are safeguards you would want to put in place to manage the data that is being supplied to the model.
This is especially true when using third-party customer data from external applications.
This is where Embedded iPaaS acts well as a gatekeeper for using AI at scale; providing the platform to retrieve data, reformat it and customize the prompt, before enabling the AI to process the request – then giving you the ability to define how and where the response is used – in your application or in another third-party system.
Multi Tenant Architecture for Deploying your Customers' AI Automations
Cyclr’s multi-tenancy architecture ensures that all your customers’ integrations and automations are installed in their own ring-fenced account – keeping all customizations and authentication details separate and secure.
This means you can deploy AI integrations at scale, making use of an architecture that ensures that AI prompts and responses don’t leak data across tenants and correctly scopes data per tenant at the workflow level.
MCP PaaS
Transform your SaaS data into natively AI accessible data points. Enable your users to create their own MCP servers, from within your application, so they can interact with their data from their AI model of choice.
Leveraging a fully multi-tenanted infrastructure, MCP PaaS puts security at it’s core – with built in OAuth, usage reporting and management tools.
- MCP Server Marketplace
- MCP Templates
- Customisation and scale
- Native embedded agent marketplace
- Built in data protections
- Unified monitoring and audibility
- Customer self-service tool creation
- Dynamic activation and deactivation
- Secure high-value write operations
- Embeddable MCP Server Marketplace
- Fully multi-tenanted solution for data segregation
- Built-in OAuth security
- Compatible with all AI models
- Go live in days
Authentication Gatekeeping For AI Models
By working in tandem with AI, Embedded iPaaS can act as the orchestrator and gatekeeper to your AI model’s data access – giving you finer grain controls over what is fed into it and how prompts are formatted for best possible results.
This way you, and your users, can benefit from new advanced AI functionality without having to directly add AI to your codebase or your first-party data, using Cyclr’s Orchestration Layer.
AI and API Interoperability
Control and build integration automations as you would with any other SaaS Application Connector, adding in AI prompts, responses and logic at any step. Standardize and scale your automations in a single visual framework – enabling all teams to understand and create their own automations through a drag and drop interface.
Multi AI Orchestration
Create automation workflows that combine third or first party data with multiple AI prompts or AI models. Perform advanced analytics, data transformations or augmentations without being limited to one particular type of AI, using results from one prompt to inform further AI step prompts.
Why use Cyclr to orchestrate AI platforms?
- Finer controls over third-party data access
- Seamless interoperability with external SaaS applications
- Built in looping and logic for large datasets
- Publish AI integrations in-app for your users to install
- Create workflows between multiple AI models
- Multi tenancy for ringfenced AI integration deployment
Build an AI Email Assistant Tutorial
By embedding iPaaS into AI agents, businesses can move beyond simple LLM-based chatbots and create intelligent systems capable of executing end-to-end workflows.
Read More
Create a AI Powered Knowledgebase Tutorial
Rapidly build an AI knowledge agent, integrating your customer data to enhance the chatbot’s usefulness and provide a much more tailored experience.
Read More 
Neural Voice, Case Study
Learn how Neural Voice use Cyclr to connect their AI Agent with external SaaS tools for advanced functionality.
Build an AI Knowledge Agent with an Embedded Integration Platform
Learn how to build an AI knowledge agent with embedded integration platform Cyclr to and expand your SaaS capabilities.