Cloud Infrastructure Migrations
Wrap cloud provider management APIs as MCP servers so AI agents can provision, monitor, and manage infrastructure.
What This Covers
Cloud providers expose hundreds of REST APIs for managing compute, storage, networking, and IAM. MigrateForce converts these APIs into MCP servers — giving AI agents and automation workflows standardized, discoverable tools for infrastructure operations.
This is not about moving workloads between clouds. It is about making your existing cloud management APIs accessible to AI-powered toolchains through the Model Context Protocol.
EC2, S3, Lambda, IAM, CloudFormation — wrap management APIs as MCP tools for agent-driven provisioning.
Compute Engine, Cloud Run, BigQuery, Cloud Storage — expose Google Cloud operations as discoverable MCP tools.
Azure Resource Manager, App Service, Cosmos DB — convert Azure management endpoints to MCP server tools.
How It Works
Upload Your OpenAPI Spec
Import the OpenAPI specification for your cloud provider API. Most cloud providers publish these — AWS has Smithy models, GCP publishes Discovery docs, Azure uses AutoRest specs. MigrateForce parses them all.
Map Endpoints to MCP Tools
MigrateForce auto-generates tool names and descriptions from each REST endpoint. Review the mappings, exclude endpoints you do not need, and customize tool names for your use case.
Generate MCP Server Code
Specify your cloud API base URL and authentication pattern. MigrateForce generates a production-ready MCP server that wraps each endpoint as a tool with proper error handling and auth forwarding.
Deploy and Connect
Download the generated code, deploy it alongside your infrastructure, and connect it to your AI agent or Claude Desktop. Your cloud APIs are now MCP-native.
Example Use Cases
Let AI agents spin up dev environments, scale services, or rotate credentials by calling MCP tools — no custom SDK integration needed.
Wrap IAM and security group APIs as MCP tools. Agents can audit permissions, flag over-permissioned roles, and generate compliance reports.
Generate MCP servers for each cloud provider. A single AI agent can then coordinate operations across AWS, GCP, and Azure through a unified tool interface.
Wrap billing and usage APIs. Agents can query spend by service, flag anomalies, and suggest right-sizing — all through standard MCP tool calls.
Start with the Migration Agent
Get Started
Questions about cloud API migrations? Contact us at migrateforce@sociallabs.com