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Overview: MCP Express

MCP Express is a no-code engine designed to bridge your data—databases, APIs, and cloud services—directly to AI agents. It abstracts the Model Context Protocol (MCP) so you can deploy a production-ready server without writing boilerplate transport logic.

Capabilities​

  • Low-Code Tool Builder: Define and deploy tools through a visual interface. No manual JSON-RPC implementation or boilerplate code required.
  • Custom Code as Tools: Need more flexibility? Write and execute custom logic directly within the platform to handle complex data or unique integrations.
  • Granular Tool Governance: Complete control over visibility. You decide exactly which tools are exposed to the LLM and which remain hidden.
  • Built-in Access Control (RBAC): Manage users and clients with a dedicated role-based system. Assign tools to specific roles to ensure secure, organizational-level deployment.
  • Instant Server Provisioning: Create and launch multiple MCP servers with a single click. Your infrastructure is live and ready to connect immediately.

Core Architecture​

MCP Express orchestrates the communication between your data sources and AI clients by leveraging three primary components:

  • MCP Server: The host environment that abstracts your tools and resources via the JSON-RPC lifecycle.
  • Tool: A schema-validated, callable function (API endpoint, SQL query, etc.) invoked by an agent.
  • MCP client: The interface (e.g., Claude) that consumes your server’s capabilities.
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For a deep dive into the underlying transport protocols and lifecycle specifications, refer to the official Model Context Protocol documentation.

Core Architecture

Modular Deployment & Multi-Tenancy​

MCP Express supports the concurrent deployment of multiple servers, each configured with a unique subset of tools. This modularity allows you to logically segment capabilities based on specific clients or distinct use cases, ensuring that each AI agent interacts only with the relevant data environment.

Furthermore, the platform architecture enforces strict Account-Level Isolation. All server configurations and tools are abstracted at the account layer, providing a secure, multi-tenant environment where data and resources remain invisible to other registered accounts.

Security & Reliability​

We prioritize enterprise-grade data governance to ensure your credentials remain protected throughout the integration lifecycle.

  • Hardware-Backed Encryption: All integration credentials and sensitive environment variables are encrypted at rest via AWS Key Management Service (KMS).
  • Stateless Execution: Our architecture ensures low-latency execution while maintaining strict data boundaries between your environment and the LLM.
  • Audit-Ready Logs: Track tool invocation and access patterns to maintain visibility over agent behavior.
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Retention Policy: Audit logs are retained for 30 days by default.

Supported Integrations​

MCP Express provides high-performance connectors for enterprise data layers. Below are our most common integrations; view our Integrations for the complete list.

Next Step​

Ready to provision your first server? Follow our step-by-step guide to connect your first tool to an AI client.