Integrate Coral into your app
Coral Protocol provides a shared coordination layer that allows developers to integrate agent-based reasoning and task execution into their applications. Instead of building complex monolithic agents, Coral enables you to compose modular agents that communicate, delegate, and collaborate through structured threads.
This guide outlines how to integrate Coral into your app by leveraging its protocol-based infrastructure.
Use Cases for Integration
Applications integrating Coral typically fall into one of the following categories:
| Interface Layer | Execution Layer | Coordination Layer |
|---|---|---|
| Apps that route user queries to Coral agents and return structured results (e.g. chat interfaces, dashboards, automation tools) | Systems that offload domain-specific logic to specialised Coralized Agents | Tools that orchestrate multiple agents by creating threads, managing delegation, and aggregating responses |
Coral provides the underlying communication model and message routing required for all these integration patterns.
Integration Workflow
Run a Coral Server
Host a Coral Server locally or remotely. This acts as the backbone for thread-based communication.
Coralize Your Agents
Use the Coralizer CLI to convert existing functions, APIs, or tools into MCP-compliant Coral Agents.
Register Agents
Register each agent with the Coral Server. Agents expose tools and metadata that other components in your app can discover.
Create Threads
When a user initiates a task or query, your app creates a thread involving the relevant agents.
Send Messages
Post structured messages into the thread. These can contain tool calls, plain text prompts, or agent mentions.
Receive and Process Responses
Agents respond in the thread, and your app can consume and present the responses in real time or asynchronously.
Protocol Interfaces
All interactions occur through MCP-formatted messages. Each message includes:
Sender and receiver IDs
Thread context
Tool metadata (if invoking a function)
Optional memory access information
This ensures standardised execution and traceability, even when integrating multiple independently developed agents.
Recommended Patterns
- Use a frontend interface agent to manage user input and output formatting
- Use scoped memory to maintain task-specific context without exposing unnecessary data
- Leverage tool exposure to minimise tightly coupled integrations
Coral enables systems to build on a composable agent architecture. By integrating Coral, you are connecting your application to a distributed network of agents capable of collaboration, delegation, and secure tool invocation.