Ag

Agentic Trust – Enterprise MCP Server Platform for Secure AI Agents

Hacker News

Agentic Trust – Enterprise MCP Server Platform for Secure AI Agents

Hey HN! We're building Agentic Trust, a unified platform that turns your code into production-ready MCP (Model Context Protocol) servers with built-in authentication, security, and observability. *The Problem:* As AI agents become more capable, they need secure ways to access tools and data. MCP (Anthropic's open protocol) is great for standardizing agent-to-tool communication, but deploying MCP servers in production is complex. You need authentication, rate limiting, audit logs, multi-tenancy, and more—all while ensuring your agents can't be exploited through prompt injection or other attacks. *Our Solution:* One endpoint (agentictrust.com) that handles all your MCP servers. You write the tool logic, we handle everything else: - OAuth 2.0 authentication with scoped permissions - Rate limiting and usage analytics - Audit trails for compliance - Automatic versioning and routing - Protection against prompt injection attacks *Technical Details:* We've also been working on OIDC-A (OpenID Connect for Agents), a proposal to extend OIDC for agent identity. It adds claims for agent attestation, delegation chains, and capabilities. This was recently featured by WorkOS's CEO at Identiverse. The idea is that agents should have verifiable identities just like users do. When an agent acts on behalf of a user, you need to track that delegation chain for security and compliance. *Why Now:* With Microsoft announcing MCP support in Windows 11 and OpenAI adopting the protocol, we're seeing explosive growth in MCP usage. But most implementations are insecure—exposed endpoints, no auth, vulnerable to attacks. We're fixing that. *Links:* - Platform: https://agentictrust.com - OIDC-A Proposal: https://subramanya.ai/2025/04/28/oidc-a-proposal/ - WorkOS article on our work: https://workos.com/blog/identity-for-ai-agents We're in early access and would love feedback from the HN community. What security concerns do you have about AI agents? How are you handling agent authentication today?

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor
95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

AI
AI agents can speak now (MCP server)27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI agents can speak now (MCP server)

Hacker News1
Mo
MongoDB MCP Server49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MongoDB MCP Server

Hacker News3
Im
Imagegen MCP Server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Imagegen MCP Server

Hacker News1
Th
The KurrentDB MCP Server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The KurrentDB MCP Server

Hacker News3
Ap
Apache Kafka MCP Server38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apache Kafka MCP Server

Hacker News1
I
I forked usql into a MCP server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I forked usql into a MCP server

Hacker News1
Co
CoreMCP – MCP Server for On-Prem DBs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CoreMCP – MCP Server for On-Prem DBs

Hacker News1
Zivio MCP
Zivio MCP39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trading intelligence MCP server for AI agents

Indie Hackers1investing
Preamble AI Trust Platform (ATP)
Preamble AI Trust Platform (ATP)46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Secure Enterprise AI

Indie Hackerscommitment-full-time
Warden
Warden59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Secure AI & MCP execution

Indie Hackerscommitment-full-time