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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.

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.