The recent surge in agentic AI (autonomous agents capable of reasoning, decision-making, and execution) has created exciting new possibilities across sectors while introducing urgent new challenges. As AI agents increasingly interact with sensitive data, decentralized infrastructure, and real-world APIs, there’s never been a more pressing need for secure, standardized interoperability.
To address this, iExec is introducing the iExec MCP Server: a modular, privacy-preserving tool designed to help AI agents interact with real-world systems confidentially. It enables agents to access the iExec toolset while maintaining user data privacy, ensuring ownership, and preventing unauthorized access or leakage.
Autonomous agents are evolving, and quickly at that. They don’t just respond to queries; they carry out tasks, query APIs, initiate on-chain transactions, and analyze datasets. One can only imagine what they’ll be capable of in a few months, let alone a few years. These operations increasingly involve sensitive information, which includes private keys, proprietary logic, and encrypted user data.
However, most agent frameworks today are not built with data confidentiality or execution integrity in mind. Without secure environments, AI agents risk exposing this data. This could be through infrastructure vulnerabilities, third-party tools, or insufficient isolation between processes.
The Model Context Protocol (MCP) is rapidly emerging as a standard for how agents structure requests and interface with tools. The iExec MCP Server is a dedicated implementation of this standard, purpose-built to bring iExec’s privacy-first infrastructure to the agent ecosystem.
What sets the iExec MCP Server apart is its direct integration with iExec’s stack. This means AI agents can now access secure, confidential computing tools such as DataProtector and Web3Mail with zero compromise on privacy or trust.
This release aligns with iExec’s vision of acting as the trust layer for AI: iExec delivers tools that empower developers to build with autonomy without forfeiting user control or exposing sensitive logic.
At the core of the iExec MCP Server is Intel TDX-based confidential computing. Agents leveraging the server operate within secure enclaves, meaning code and data are protected from external access throughout the entire execution process.
This delivers three critical advantages:
For AI agents, this means it is now possible to:
One major guiding principle behind the iExec MCP Server is ease of integration. Setting this up requires no dedicated node, access management, or backend configuration. An agent is ready to securely interact with the iExec tools just by copying and pasting the mcp server json configuration setup below in any tools such as Cursor or Claude AI. Check this video for details:
Once launched, the agent gains scoped access to various components, including (but not limited to):
The iExec MCP Server abstracts away the complexity to make secure interoperability accessible with minimal setup.
This release is part of a broader vision to build a modular ecosystem of secure AI agents, with the iExec MCP Server being the first step. By integrating iExec into AI workflows, developers unlock a growing set of agent-compatible tools, starting with DataProtector and Web3Mail, expanding to include Web3Telegram, iAppGenerator, and beyond.
As more AI applications demand confidentiality, auditability, and composability, the infrastructure needs to rise to meet them. iExec is committed to providing a future where developers don’t have to choose between autonomy and security.
The iExec MCP Server is open-source and available today.
iExec is standardizing how the next generation of AI agents access trusted tools, while guaranteeing execution privacy and data protection. And iExec is doing this confidently and without compromise.
