Confluence MCP Gateway Options for 2026

Connecting AI agents to Confluence requires controls for authentication, permissions, sensitive-data handling, and auditing, since direct integrations may leave gaps in cross-platform governance. The overview compares six approaches: Atlassian Rovo MCP, which provides native OAuth 2.1-based access that inherits users’ Confluence permissions; managed gateway offerings such as MintMCP and MCP Manager, which add centralized token management, role-based tool access, policy enforcement, logging, and potential DLP integrations; Cequence AI Gateway, which emphasizes protection against threats such as prompt injection and credential theft; TrueFoundry, which combines MCP access with broader ML and LLM infrastructure; and self-hosted gateways for organizations needing infrastructure control or air-gapped deployment. Across these options, Atlassian permissions generally remain the basis for page- and space-level access, while gateways can provide additional controls across AI clients including Claude, ChatGPT, Cursor, Gemini, and Copilot. Selection depends on security and compliance requirements, deployment model, need for centralized governance, and the operational capacity to manage authentication, connector infrastructure, monitoring, maintenance, and incident response.

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