Equip your AI to work
with sensitive systems
Coral is the trusted execution layer for agents.
Set more precise permissions and give agents approved
workflows that work faster, with fewer tokens.
Without Coral
- High-risk scopes
- 0
- Fact accuracy
- 0/5
- Token cost
- $0.00
- Execution speed
- 0s
With Coral
- High-risk scopes
- 0
- Fact accuracy
- 0/5
- Token cost
- $0.00
- Execution speed
- 0s
Used by thousands of developers from 450+ companies, including
Why Coral?
Coral outperforms MCP gateways
on safety, speed and efficiency
MCP gateway
Coral
Permission controls
MCP gateway
Manages access but not specific actions. Results in huge tool lists and over-scoped permissions.
Coral
Control rules for actions: Specify operations and code workflows with defined arguments.
Execution speed and efficiency
MCP gateway
Agents waste time and tokens relearning how to complete a task.
Coral
Reusable workflows enable faster, more efficient tool calls that win benchmarks.
Permissions
Control what your agents can do, not just what they can reach
Connect your providers to workspace groups of employees and agents. Agents then write programs from Coral operations and saved workflows, and Coral runs the provider API calls in an isolated sandbox. You decide what is permitted with rules for operations and specific, editable workflows.
Accountability
Control how your agents escalate to human operators for approval
Set precise rules for operations and saved workflows that can only be used with per-instance human approval. Users can approve actions directly in the UI of agents such as Claude and Codex. Approvals are also logged in Coral.
Saved workflows
Every agent run feeds an intelligence loop that makes all your agents smarter
Coral gives agents shared memory of procedures, not just facts. It builds a library of proven tool-calling workflows and metadata that all your agents can reuse and add to, which improves token efficiency and accuracy. You own and control this data.
Integrations
Works instantly with thousands of agents, tools and databases, and extends to more
Any chatbot or agent, including
Claude
ChatGPT
Codex
Copilot
Cursor
Gemini
5,000+ databases and SaaS tools, including
AWS
Databricks
Datadog
GitHub
Google Cloud
Google Docs
IBM
Jira
Microsoft Teams
MongoDB
MySQL
Oracle
PostgreSQL
Salesforce
ServiceNow
Slack
Snowflake
SQLite
Benchmarks
Coral uplifts enterprise tool-call performance
for every major LLM
Agents with direct MCPs vs agents with Coral
Claude, Copilot, ChatGPT, Codex: they all use tools more accurately and cost efficiently with Coral.
Agents with MCP gateways vs agents with Coral
Coral improves accuracy and cost efficiency far beyond MCP gateways.
Blind benchmarks of 100 enterprise tasks run on 15 October 2026 using the same agents and data sources (GitHub, Slack, Linear, Notion).
Use cases
Coral unlocks agent power users
across your organization
Hundreds of agent use cases have safer, more effective tool execution with Coral, including:
AI SRE
Agent investigates alerts. Saved workflows safely permit it to roll back specified services.
AI TechOps
Agent can provision accounts using approved roles, systems and expiries.
Customer Support
Agent can safely issue refunds with precisely defined escalation scenarios.
Business Intelligence
Saved workflows aggregate warehouse, CRM and billing data before passing metrics to the agent.
AI SecOps
Agent uses saved workflows to isolate devices within approved groups.
Transaction Analysis
Saved workflows reconcile payments across systems, returning only discrepancies to the context window.
AI RevOps
Reusable workflows for CRM deduplication and lead routing reduce token costs.
Deal Desk
Combine discount policy, billing, tickets, and CRM data, then draft a proposal for human approval with audit trail.
Custom models
Coral Sailfish: Open-weights models for super-efficient enterprise tool calls
As agents use Coral they create trace and workflow data that can post-train open-weights models. Sailfish is a new family of models we’ve trained that substantially outperform their base models at real-world interactions with enterprise systems. Coral customers can create their own sovereign models in the same way, optimized for their unique data and systems.
Coral Sailfish 1 vs Qwen 3.6 35B A3B
Benchmarked on 34 enterprise tool-call tasks
- Accuracy
- +300%
- Speed*
- +15%
- Cost**
- -75%
*Speed subject to self-hosting architecture
**Cost at high scale and utilization
Get started in minutes
Coral is open source under Apache 2.0. Connect your first provider, try an agent task, then ask your agent to create a saved workflow.







