Limitations and Workarounds
Coral is designed to strike a balance between flexibility and developer ergonomics — but as with any early-stage protocol, there are trade-offs. This section outlines current limitations and practical workarounds.
Deployment Constraints
Local Coral Server
The reference Coral Server implementation is a standalone process that runs alongside your application. This mirrors typical MCP server deployment patterns, but may present challenges if your platform is constrained to a single process (e.g. no-code environments).
Workaround Options
- Single-process compatibility: In theory, Coral Server could be re-implemented in other languages or embedded within your application logic. This would require non-trivial effort.
- Secure tunnel exposure: Alternatively, you can expose the Coral Server via a secure public URL using tools like Awesome Tunneling. If you pursue this, ensure the server is only accessible to your agents and application.
Managed Agent Deployment
During development, you manage agents directly and register them using the /devmode/
prefix in the MCP Server URL.
In production, Coral manages per-session deployment of agent containers to ensure data isolation. This is a standard practice, but introduces latency:
Applications that spin up fresh agent sessions per request will incur startup time equal to the slowest agent in the thread.
This is especially noticeable in ElizaOS or other session-heavy workflows.
Optimisation Tips
- Use Slim Toolkit to reduce image size and speed up startup.
- Explore Docker checkpointing to pre-start agents during build time: Docker Checkpoint Docs. This requires preconfiguring runtime variables like connection strings.
Early Adoption Considerations
Coral is a new protocol. Caution around adoption timelines and community maturity is understandable.
To reduce integration risk, Coral:
- Reuses existing open standards wherever possible
- Implements features entirely through MCP interfaces, making Coral agents compatible with other MCP-compliant tools
That said, Coral enables a graph-of-agents architecture that most frameworks are not yet optimised for. Many open-source agents today lack:
- Proper deployment-time handling (e.g. user data separation)
- Containerisation or runtime lifecycle controls
Solution
Use the Coralizer CLI to adapt existing agents and tools into Coral-compatible deployments.
Coral helps bridge the early adoption gap by giving developers ergonomic tools to integrate incrementally, while maintaining long-term protocol alignment.