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T3N is a decentralized network for user data and AI agent governance. It provides multiple tools, including MCP and SDK, to enable AI agents and applications to interact seamlessly with the network and manage AI agent governance (e.g.,identity, permissions, delegation, data privacy, and auditability) more effectively.

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Model Context Protocol (MCP)

MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems.
You can connect to T3N MCP in two ways:

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Local MCP

  • Runs as a locally managed process (e.g., on a developer machine, private VM, or on-prem host).
  • Ideal for handling private keys, credential signing, and other sensitive operations locally.
  • Commonly used for development, testing, and hi gh-trust setups.

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Remote MCP

  • Runs as a hosted service (i.e., on a T3N node).
  • Requires authentication before use.
  • Designed for production environments where agents need scalable, always-on access to T3N capabilities.
Please contact us at [email protected] for MCP access.

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T3N SDK

AI agents or applications can also directly interact with T3N via the T3N SDK. The T3N SDK provides a secure, encrypted, and authenticated way to execute actions in TEEs.
Please contact us at [email protected] for T3N SDK access.