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Agentic Trust Launches Secure MCP Server Platform for AI Agents

June 19, 2025•Unknown•Original Link•2 minutes
AI
Security
MCP

Agentic Trust introduces a unified platform for deploying secure MCP servers with built-in authentication, security, and observability for AI agents.

Agentic Trust, a new enterprise platform, aims to simplify the deployment of secure MCP (Model Context Protocol) servers for AI agents. The platform provides a unified solution for turning code into production-ready MCP servers with built-in authentication, security, and observability.

The Problem

As AI agents become more capable, they require secure access to tools and data. While MCP (Anthropic's open protocol) standardizes agent-to-tool communication, deploying MCP servers in production remains complex. Challenges include authentication, rate limiting, audit logs, multi-tenancy, and protection against prompt injection attacks.

The Solution

Agentic Trust offers a single endpoint (agentictrust.com) that handles all MCP server needs. Key features include:

  • 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 Innovations

The platform also introduces OIDC-A (OpenID Connect for Agents), a proposal to extend OIDC for agent identity. This includes claims for agent attestation, delegation chains, and capabilities. The proposal was recently featured by WorkOS's CEO at Identiverse. Learn more about OIDC-A here.

Why Now?

With Microsoft announcing MCP support in Windows 11 and OpenAI adopting the protocol, MCP usage is growing rapidly. However, many implementations lack security, exposing endpoints to attacks. Agentic Trust aims to address these vulnerabilities.

For more details, check out the WorkOS article on their work here.

Agentic Trust is currently in early access and seeks feedback from the tech community. What security concerns do you have about AI agents? How are you handling agent authentication today?

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Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Michael Rodriguez

Michael Rodriguez

AI Technology Journalist

Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.

Expertise

AI Industry Analysis
Startup Ecosystem
Technology Trends
Product Reviews
Experience
12 years
Publications
800+
Credentials
2
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