Oasis and Heurist Launch Confidential MCP Servers for Privacy-First Agents

Imagine you’re building a powerful AI assistant that is equipped with diverse skillsets: fetching financial market insights, checking social signals, reading blockchain analytics, and searching alpha from private groups. Typically, each integration demands custom connectors, authentication, and careful management of sensitive data. The complexity balloons with every new service added.

Now, picture a simplified world: one secure server effortlessly orchestrates these services, safeguards your private data, and offers verifiable proofs of execution. This is precisely what Oasis and Heurist are delivering today through the launch of ROFL-backed MCP servers. This solution streamlines integrations, enhances privacy with Trusted Execution Environments (TEEs), and transforms how developers build and deploy composable AI agents.

The Growing Integration Challenge for AI Platforms

Every AI startup faces a familiar dilemma: rapid growth depends on the seamless integration of diverse data sources, third-party tools, and secure processing workflows. Traditional integration methods require bespoke development for each connection, each becoming a source of complexity, cost, and potential vulnerability. Product leads and CTOs need solutions that scale gracefully without compromising on security or reliability.

Model Context Protocol (MCP) simplifies the integration by providing a universal interface — think of it as the universal USB plug for AI services. But while MCP solves the complexity, the underlying computation environment still demands trust. How can sensitive inputs and proprietary computations remain secure and confidential?

This is the gap Oasis ROFL (Runtime Off-Chain Logic) fills, enabling containerized applications to execute within TEEs ROFL combines privacy guarantees with cryptographic proofs of correctness, ensuring both confidentiality and integrity for every computation.

“We designed this integration because existing solutions left developers juggling complexity and compromising on security,” says Frank He, Co-Founder and Engineering Lead at Heurist. “Oasis’s ROFL framework gives us verifiable, confidential compute that secures the data inside MCP-powered agents.”

Introducing the Oasis × Heurist MCP Server

Today’s launch features an MCP server powered by ROFL, hosting a carefully curated set of Heurist Mesh agents that cover popular services and data sources, including but not limited to:

• Coingecko for 20,000+ crypto token data
• DexScreener for millions of tokens traded onchain
• Elfa for real-time Twitter intelligence by smart KOLs
• Exa for fast and accurate web search
• Twitter posts and keyword-based search
• AIXBT for crypto project overviews
• Etherscan for EVM blockchain analysis
• Whale trading data for EVM tokens
• CEX funding rates
• UnifAI and GMGN memecoin token data
• Yahoo Finance for technical analysis of stocks and major cryptos
• Zerion for EVM wallet portfolio

Developers can use a free, shared endpoint of the Agent swarm to prototype, experiment, and integrate.

How the ROFL-backed MCP Server Works

At its core, MCP simplifies communication between AI applications and external tools using JSON-RPC over HTTP/SSE. Clients like ChatGPT, Claude, or Cursor can easily connect and invoke various agent functions.

With ROFL integration, these MCP servers now execute logic securely within a TEE. Developers gain confidence from hardware-enforced isolation and remote attestation — verifying the execution environment’s authenticity before processing sensitive data.

This integration solves privacy concerns prevalent in many agent-based workflows. Instead of hoping infrastructure remains uncompromised, ROFL cryptographically proves security, establishing verifiable trust at every computational step.

Practical Applications: Real-World Benefits

The ROFL-powered MCP servers empower developers and AI platform engineers with several immediate practical benefits:

Financial and Onchain Intelligence Workflows

Analysts can instantly combine token data, liquidity analysis, and wallet behavior insights within a single workflow. Securely analyzing sensitive market data in a TEE ensures confidentiality even when handling proprietary strategies or confidential user information.

Automated Trading Agents with Provenance

Agents can securely enrich data, such as wallet transactions or user-generated content, within a ROFL-deployed MCP server. Each action produces cryptographic receipts verifiable on-chain, offering enterprises clear provenance and auditability without exposing sensitive computation details.

Composable Agent Swarms

Product teams easily compose chains of agents, searching, classifying, summarizing, and reporting, through simple MCP configurations. The composability of MCP paired with ROFL’s secure environments allows teams to confidently build sophisticated pipelines while maintaining stringent data privacy.

Roadmap: Where Oasis and Heurist Go Next

This initial launch is just the beginning. Theroadmap is ambitious, aiming to deepen interoperability and expand usability for developers and enterprises:

On-Demand TEE Servers

Soon, developers will provision fully attested MCP servers directly through the Heurist MCP portal. Each server will be fully customizable, tailored to each user’s needs while presenting transparent attestation evidence.

Cross-Chain Interoperability with Heurist Chain

Integrating Oasis with Heurist Chain will unlock micropayments for MCP agent usage, issuance of verifiable on-chain receipts, and seamless integration across Web3 ecosystems. Enterprises and startups gain additional confidence from transparent, cross-chain accountability.

Enhanced Developer Support

Expect enhanced developer resources, including starter templates, reference implementations, and collaborative workshops aimed at onboarding teams to this new, privacy-first composability.

Transforming the Future of Composable AI Agents

This collaboration between Oasis and Heurist marks a significant advancement for developers and enterprises navigating the complexity of AI integrations. By combining MCP’s open standards with ROFL’s secure computation environments, teams can now confidently build composable, privacy-first AI workflows without sacrificing simplicity or trust.

“Our mission has always been enabling developers to build compositional intelligence securely without slowing innovation,” emphasizes JW, the founder of Heurist. “Today’s launch demonstrates our commitment to this vision, giving builders powerful tools to craft the next generation of trusted, agentic applications.”

Start exploring this powerful combination today, and redefine what’s possible for your next AI product.