DOCSEARCHbyAlgolia
Submit Docs

MintMCP

website·Indexed 34 days ago

https://www.mintmcp.com/docs

An enterprise gateway for the Model Context Protocol (MCP) that provides observability, governance, and enablement for AI tools across platforms such as ChatGPT and Claude.

Tokens
399
Snippets
0
Records
3
Agent score
23%

What's inside MintMCP

  1. Overview of MintMCP Enterprise Gateway

    MintMCP is an enterprise gateway for the Model Context Protocol (MCP). It acts as a control point between Large Language Models (such as ChatGPT, Claude, and Gemini) and enterprise tools or data. Its primary purpose is to provide authentication, authorization, policy enforcement, observability, and audit logging for AI-to-data/tool connections, helping organizations solve issues like 'Shadow AI' visibility and least-privileged access.

  2. Enterprise features and connectivity options in MintMCP

    MintMCP provides several enterprise-grade features for managing AI infrastructure:

    • Identity & Access: Okta SAML SSO integration for authentication, permissions, and audit trail management.
    • Integrations: Native integration with Claude MCP and ChatGPT Custom Actions.
    • Data Connectivity: Support for connecting to data warehouses and databases including Snowflake, PostgreSQL, and BigQuery.
    • Deployment: Supports both public and private MCP servers with options for Cloud (managed) or self-hosted deployment, including multi-region deployment with data residency controls.
    • Setup: Quick deployment typically taking under 5 minutes.

  3. Manage AI tool governance with the MintMCP LLM Gateway

    The MintMCP LLM Gateway sits between LLMs and enterprise data to provide the following capabilities:

    • Policy Enforcement: Restrict which tools or models can call specific APIs.
    • Centralized Logging & Telemetry: Provide security and platform teams with visibility into what data is being accessed.
    • Normalization: Ensure consistent governance regardless of which LLM is used.
    • Usage Monitoring: Manage and track token usage, aggregated costs, request volume, and tool call trends.