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Introduction to MintMCP

MintMCP is an enterprise gateway for Model Context Protocol (MCP) that provides authentication, authorization, and governance for AI-to-data connections.

Enterprise AI Tool Governance​

Organizations adopting AI coding assistants like Claude Code and Cursor face a critical challenge: lack of visibility and control over AI tool usage. Enterprise deployment is blocked by two key concerns: security risks from unmonitored system access and compliance requirements for audit trails of all AI interactions.

The Visibility & Security Problem​

Without proper governance, AI tools operate as black boxes with significant security risks:

  • Zero Telemetry: No visibility into what tools AI assistants are calling
  • No Request History: Can't track or audit AI actions across your infrastructure
  • Uncontrolled Access: AI tools can potentially access any connected system without oversight
  • Data Exposure Risk: No monitoring of what sensitive data AI tools are accessing or transmitting
  • Security Blind Spots: Can't detect unauthorized access attempts or data exfiltration
  • Compliance Gaps: Missing audit trails required for regulatory compliance

Enterprise Requirements​

Deploying AI tools and MCP in enterprise environments requires:

  • Full Visibility: Logging of all AI tool calls and external system access
  • Real-time Governance: Ability to block or allow tool usage on-the-fly
  • Authentication & Authorization: Enterprise-grade security for all AI-to-data connections
  • Access Control: Role-based permissions for different teams and use cases
  • Multi-Client Support: Unified governance across ChatGPT, Claude, Cursor, and other AI platforms
  • Audit & Compliance: Request logging and audit trails

MintMCP Solution​

MintMCP provides visibility and governance for AI tool usage through a proxy gateway architecture:

Visibility & Control​

With MintMCP: Every AI tool call is logged, monitored, and can be controlled in real-time:

  • Full Request Logging: See exactly what tools AI assistants are calling and when
  • Real-time Blocking: Block suspicious or unauthorized tool usage as it happens
  • MCP Tool Visibility: Track all external tool and data source access through MCP
  • Cross-Platform Monitoring: Unified visibility across Claude Code, Cursor, ChatGPT, and other AI clients

Enterprise Security & Governance​

  • Authentication & Authorization: OAuth 2.0, SAML, and enterprise SSO integration
  • Fine-grained Permissions: Tool-level RBAC/ABAC policies for different teams
  • Audit Compliance: Request/response logging for regulatory requirements
  • Secure Credential Management: Centralized secrets management for downstream services

Platform Integration​

  • Protocol Translation: Compatible with all major AI platforms
  • MCP Gateway: Secure, authenticated access to MCP servers and tools
  • API Standardization: Unified interface across different AI client protocols

What is MCP?​

Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to data sources and tools. As AI systems evolve from simple chat interfaces to tool-using agents, MCP provides the standardized interface for these connections.

Enterprise Integrations​

MintMCP supports common enterprise systems:

  • Data Warehouses: Connect Snowflake, BigQuery, Databricks for natural language queries
  • Communication Platforms: Integrate Slack, Teams, email for context-aware AI responses
  • Document Systems: Access Google Drive, SharePoint, Confluence for knowledge retrieval
  • Custom Tools: Deploy proprietary tools with standardized interfaces

Deployment Options​

MintMCP offers two deployment models:

  • Cloud: Managed service with SLA guarantees
  • Self-Hosted: Deploy on your infrastructure with full control

Getting Started​

To deploy MintMCP in your environment, see Get Access for requirements and setup instructions.