Execution Rails for Agents
Equip your AI to work with sensitive enterprise systems.
Give agents precise permissions and custom tools
that work faster with fewer tokens.
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 overprivileged permissions.
Coral
Control rules for actions: Specify provider tools and custom tools with defined arguments.
Execution speed and efficiency
MCP gateway
Agents waste time and tokens relearning how to complete a task.
Coral
Reusable custom tools enable faster, more efficient agents that win benchmarks.
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
Overprivileged MCP access increases
security risks and breaking changes
- 74%
- of companies report that agents receive more access than their tasks require2026 CSA survey of 224 global IT execs
- 27%
- have had a security incident due to unnecessarily broad agent permissions2026 1Password survey of 1,000 US IT execs
- 31%
- had to fix disruptive breaking changes made by agents in the past 3 months2026 Nylas survey of 1,030 US IT execs
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 using provider tools and custom tools. Coral runs the provider API calls in an isolated sandbox. You decide what is permitted with rules for tools and precise custom tools.
Accountability
Control how your agents escalate to human operators for approval
Set rules for tool operations and custom tools that can only be used with per-session human approval. Users can approve actions directly in the UI of agents such as Claude and Codex. Approvals are also logged in Coral.
Custom tools
Every agent run feeds an intelligence loop that makes all your agents smarter
Coral gives agents shared memory of procedures, not just facts. When a program succeeds, the agent saves it to Coral as a custom tool. Your library of proven tool-calling code grows with each task. With custom tools, agents complete the same tasks 29% faster and at 31% lower token cost on average.
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. Custom tools 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
Custom tools aggregate warehouse, CRM and billing data before passing metrics to the agent.
AI SecOps
Agent uses custom tools to isolate devices within approved groups.
Transaction Analysis
Custom tools 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 structured trace data that is effective for post-training 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 74 enterprise tool-call tasks
- Accuracy
- +109%
- SpeedSpeed subject to self-hosting architecture
- +15%
- CostCost at high scale and utilization
- -75%
Get started in minutes
Start free with the open-source version on your own machine, then scale to your whole team when you’re ready.
FAQ
An MCP gateway manages which tools an agent can reach. Coral controls what the agent can do with them: rules for each operation, custom tools with defined arguments, and human approval where you need it. Agents also reuse custom tools rather than relearning each task, so in our blind benchmarks they were more accurate and cheaper with Coral than with Kong, Composio or Microsoft's gateway.
MCP is a standard for connecting AI tools to external systems, and Coral works with it. Your agents can connect to Coral over MCP, and Coral can connect to the MCP servers your providers already offer, adding permissions, approvals and custom tools in between.
Any agent that can call tools, including Claude, Codex, Copilot and ChatGPT. Coral is an execution layer, not an agent framework, so its permissions and custom tools aren't tied to one model or agent vendor, and you can switch agents without rebuilding them.
Wrappers solve one source for one agent at a time, and each needs its own auth, permissions and upkeep. Coral handles these once for every agent, and its custom tools build up a shared library of proven procedures that all your agents reuse, which cuts tokens and errors.
Coral calls your SaaS APIs and databases directly, so nothing is copied into a warehouse first. It keeps a small local store of metadata, custom tools and execution records, which you own. When you run Coral yourself, nothing is sent to us. Only the results your agent asks for reach its model, and custom tools can filter and aggregate data first so less of it enters the context window.
Coral is ISO/IEC 27001:2022 certified. Provider API calls run in an isolated sandbox, approvals are logged, and the Enterprise plan adds SAML and SCIM provisioning, advanced RBAC and an immutable audit log.
No. Coral works with the models your agents already use, with your own LLM keys. Sailfish is an option for teams that want open-weights models tuned for enterprise tool calls, or to post-train their own on their Coral workflow data.
Minutes. Download the desktop app or self-host the server, connect a provider, and point your agent at Coral. The quickstart walks you through your first task.
Still have questions? Book a demo.