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.

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Without Coral

High-risk scopes
0
Fact accuracy
0/5
Token cost
$0.00
Execution speed
0s
Open support bugs
Write a message…
Opus 5 High

With Coral

High-risk scopes
0
Fact accuracy
0/5
Token cost
$0.00
Execution speed
0s
Open support bugs
Write a message…
Opus 5 High

Used by thousands of developers from 450+ companies, including

  • Visa
  • Stripe
  • Barclays
  • Mastercard
  • IBM
  • HSBC

Why Coral?

Coral outperforms MCP gateways on safety, speed and efficiency

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.

Fully correct answers found97.5%98.0%98.5%99.0%99.5%100.0%$0.00$0.05$0.10$0.15$0.20$0.25$0.30Average token cost per taskClaude Haiku 5.5+ Direct MCPsClaude Haiku 5.5+ CoralClaude Opus 5.5+ Direct MCPsClaude Opus 5.5+ Coral

Agents with MCP gateways vs agents with Coral

Coral improves accuracy and cost efficiency far beyond MCP gateways.

Fully correct answers found97.5%98.0%98.5%99.0%99.5%100.0%$0.20$0.25$0.30$0.35$0.40$0.45$0.50Average token cost per taskClaude Opus 5.5+ CoralClaude Opus 5.5+ Microsoft GatewayClaude Opus 5.5+ KongClaude Opus 5.5+ Composio

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.

Developer FAQ