MCP Connection Development Accelerator
Matellio, Inc. · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Model Context Protocol (MCP) is emerging as the standard for connecting AI agents to enterprise tools, but most teams lack patterns for production-grade MCP servers with proper auth, governance, and observability. Matellio's MCP Connection Development Accelerator builds these servers on a purpose-fit AWS stack: AWS Lambda or Fargate for serverless/container runtimes, Amazon API Gateway for managed endpoint exposure with rate limiting and auth enforcement, AWS Secrets Manager for credential handling, Amazon Cognito plus AWS IAM for identity and authorization, AWS PrivateLink for private access to internal systems, and Amazon Bedrock AgentCore with CloudWatch for agent runtime and observability.
This is built for enterprises creating internal AI agents for sales, operations, or engineering productivity; ISVs who want their SaaS reachable by Claude, ChatGPT, or other AI assistants; internal AI platform teams standardizing tool access across agent runtimes; and organizations with significant on-premises or VPC-resident systems to expose.
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Engagement runs in four phases: Inventory (weeks 1–2: candidate-system inventory, prioritization, auth/governance design), Build (weeks 3–6: first 2–3 MCP servers as reference implementations with full security stack), Scale (weeks 7–12: additional MCP servers built on the established platform), and ongoing Support (platform support, new agent-runtime onboarding, governance refinement).
Highlights
Highlighted by the publisher on AWS Marketplace.
Full production security stack, not a prototype: Cognito/IAM auth, Secrets Manager credential rotation, and PrivateLink for private access to internal systems — no secrets in code, no public exposure of internal systems.
Phased delivery — a working reference agent connected to your first 2–3 systems in the Build phase (weeks 3–6) — with a clear path to scale the pattern across your organization in the following phase.
Built to work across agent runtimes — Claude, Bedrock Agents, and other MCP-compatible clients — via Amazon Bedrock AgentCore with full CloudWatch observability on every tool call.
Agent build and provenance
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