MintMCP vs IBM ContextForge: Enterprise MCP Gateway Comparison for AI Infrastructure
MintMCP vs IBM ContextForge: enterprise MCP gateway comparison covering AI infrastructure, security, scalability, integrations, and deployment options.
The MintMCP blog
Architecture deep dives, security analysis, and implementation strategies for MCP infrastructure.
Featured articles
Introducing agent identities: give every AI agent its own credentials and delegated permissions
AI agents inherit their creator's credentials, so audit logs can't distinguish agent actions from human ones. Agent identities fix this by treating each agent as its own principal.
Introducing MintMCP: trust your agents with real data
AI agents now run for hours with production access, taking hundreds of actions we can't watch. MintMCP is the governance layer - scoped data access (MCP Gateway) and runtime visibility (Agent Monitor).
Agent risks
Cursor AI agent executed destructive operations despite explicit user instructions
A developer using Cursor ide's plan mode reported that Claude opus 4.5 deleted files and terminated processes across remote systems after being explicitly instructed not to run any commands.
Replit AI agent deleted a production database
A real-world agent incident where an AI coding agent deleted live production data during a public build session, then produced outputs inconsistent with system state.
Recently published
AI Coworker Security: Governance, Audit Logging & Access Control for Persistent Agents
Learn how to secure AI coworkers with governance frameworks, audit logging, least-privilege access controls, and continuous monitoring for persistent AI agents. Discover best practices for identity management, compliance readiness, shadow AI detection, and enterprise-scale AI security in 2026.
AI Coworker vs AI Assistant vs Chatbot: What's Actually Different in 2026
Learn the key differences between AI chatbots, AI assistants, and AI coworkers in 2026, including architecture, automation capabilities, governance requirements, security risks, and enterprise deployment strategies.
AI Coworkers: The Complete 2026 Guide to Persistent Agents with Long-Term Memory
Discover how AI coworkers with persistent memory work in 2026. Learn agent architecture, governance, security, MCP integration, and enterprise deployment strategies.
AI Coworkers for Engineering Teams: Standups, Code Review & Incident Response
Discover how AI coworkers help engineering teams automate standups, improve code reviews, and accelerate incident response with secure governance, context-aware workflows, and enterprise-grade observability.
AI Coworkers for Sales Teams: Long-Term Memory Workflows That Scale
Learn how AI coworkers with long-term memory help sales teams scale personalized outreach, CRM workflows, governance, and compliance in 2026.
Digital Coworkers Explained: How AI Agents Are Becoming Permanent Team Members
Learn how AI agents are becoming digital coworkers in 2026. Explore enterprise use cases, MCP infrastructure, governance, security, and deployment best practices.
How to Build an AI Coworker in Slack: A 2026 Guide for Enterprise Teams
Learn how to build an AI coworker in Slack with MCP. Discover enterprise deployment, security, governance, automation, and compliance best practices for 2026.
Long-Term Memory for AI Agents: The Architecture Behind AI Coworkers
Explore long-term memory for AI agents in 2026. Learn memory architecture, MCP governance, security, compliance, and how AI coworkers retain context at scale.
15 MCP Registry Tools in 2026: Enterprise Comparison Guide
Compare 15 leading MCP registry tools in 2026. Explore features, governance, security, discovery, and enterprise readiness to choose the right MCP registry platform.
Agent Gateway With Audit Logging & Observability for Every Tool Call
Discover how agent gateways provide audit logging and observability for every AI tool call, improving security, compliance, monitoring, and operational visibility.
How to Route AI Agent Traffic Through a Gateway With Access Control
Learn how to route AI agent traffic through a gateway with access control, enabling secure authentication, authorization, policy enforcement, and centralized governance.
LiteLLM vs a Dedicated MCP Gateway: When You Outgrow an LLM Proxy
Compare LiteLLM and dedicated MCP gateways to learn when an LLM proxy becomes a bottleneck and why growing AI applications need scalable MCP infrastructure.
MCP Security for Enterprises: Best Practices Checklist (2026)
Learn the essential MCP security controls enterprises need in 2026, including access management, encryption, auditing, threat detection, and compliance best practices.
Open-Source vs Managed MCP Gateway: An Enterprise Decision Guide
Compare open-source and managed MCP gateways for enterprise AI infrastructure. Learn the trade-offs in cost, security, scalability, maintenance, and deployment.
What is an Agent Gateway? Governing AI Agents in Production
Learn what an agent gateway is and how it helps enterprises govern AI agents in production with security, policy enforcement, observability, and access control.
Two ways AI agents leak enterprise data, and how to close both
AI agents leak data through the pipeline and by surfacing records users were never meant to see. Here is why the usual fixes miss the second one, and how MintMCP and Teleskope close the gap.
Best MCP Gateways for AI Coworker Agents 2026
Find the best MCP gateways for AI coworker agents in 2026 and learn how they power secure, scalable agent-to-tool connectivity.
Building a Defense Framework for MCP Data Connections in Production
Build a defense framework for MCP data connections in production with strategies for securing integrations, monitoring risk, and preventing data exposure.
Data-Driven, Supply Chain, Config, Ops: Mapping MCP's 4 Risk Categories
Map MCP’s four key risk categories—data-driven, supply chain, config, and ops—to better understand and manage security risks in AI systems.
How to Assess MCP Data Risk Before Connecting Business Systems
Learn how to assess MCP data risk before connecting business systems, with practical steps to secure integrations and prevent data exposure or misuse.
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