MCP stayed internal—the early spec lacked enterprise identity controls. Auth0's identity layer plugged that gap and made it customer-ready.
An AI-native platform for sales, marketing, and revenue operations teams that unifies internal company data with external industry sources and community forums, with customers connecting their own AI agents via MCP server to compose emails, analyze signals, and execute workflows autonomously.
Allowing AI agents to operate across tenant boundaries and access proprietary customer data created security exposure that early MCP protocol...
“With Auth0, MCP went from being something we'd experimented with internally to something that we could give to our customers.”
Buyer intelligence and GTM platform for revenue teams.
Identity and access management platform for developers and enterprises.
Common Room's Agent security is part of this use case:
Related implementations across industries and use cases
Building agent identity from scratch would have tied up an entire team for months. Off-the-shelf auth got the MCP server live in one sprint.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Building agent identity from scratch would have tied up an entire team for months. Off-the-shelf auth got the MCP server live in one sprint.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
MCP stayed internal—the early spec lacked enterprise identity controls. Auth0's identity layer plugged that gap and made it customer-ready.
An AI-native platform for sales, marketing, and revenue operations teams that unifies internal company data with external industry sources and community forums, with customers connecting their own AI agents via MCP server to compose emails, analyze signals, and execute workflows autonomously.
Allowing AI agents to operate across tenant boundaries and access proprietary customer data created security exposure that early MCP protocol...
“With Auth0, MCP went from being something we'd experimented with internally to something that we could give to our customers.”
Buyer intelligence and GTM platform for revenue teams.
Identity and access management platform for developers and enterprises.
Common Room's Agent security is part of this use case:
Related implementations across industries and use cases
Building agent identity from scratch would have tied up an entire team for months. Off-the-shelf auth got the MCP server live in one sprint.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Building agent identity from scratch would have tied up an entire team for months. Off-the-shelf auth got the MCP server live in one sprint.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.