GCP API Integration

Make Google Cloud APIsAI-Agent Ready

Wrap any GCP management API as an integration server using MCP and other standards. Give AI agents standardized, discoverable tools to provision, monitor, and manage your Google Cloud infrastructure.

How MigrateForce Works with GCP APIs

The Migration Agent, CLI, and Skills system work together to convert GCP REST APIs into production-ready MCP servers.

Migration Agent

Point the Migration Agent at any GCP API — Compute Engine, Cloud Run, BigQuery, IAM. It analyzes the OpenAPI spec, suggests MCP tool mappings, and generates the server code.

CLI-Driven Workflow

Upload specs, configure mappings, and generate MCP servers from your terminal. The MigrateForce CLI handles the full lifecycle — no browser required.

GCP Skills Library

Pre-built Skills teach AI agents how to use your generated MCP tools effectively — when to scale instances, how to query BigQuery, when to rotate IAM keys.

Scoped Access Control

Exclude destructive endpoints from your MCP server. Expose read-only monitoring tools to agents while keeping mutation operations locked to human approval.

Multi-Service Composition

Generate separate MCP servers for Compute, Storage, BigQuery, and IAM — then compose them into a unified toolset that agents can orchestrate across.

Local-First Generation

All code generation happens locally. Your GCP API specs and credentials never leave your machine. Download and deploy the MCP server wherever you run your infrastructure.

GCP Services You Can Wrap

Any GCP service with a REST API can become an MCP server. Here are common starting points.

Compute Engine
Provision and manage VMs via agent tools
Cloud Run
Deploy and scale containers through MCP calls
BigQuery
Run queries and manage datasets as tool operations
Cloud Storage
Manage buckets and objects through agent workflows
IAM
Audit permissions and manage service accounts
Cloud SQL
Database instance management and monitoring
GKE
Cluster operations and workload deployment
Pub/Sub
Topic and subscription management for event pipelines

From GCP API to MCP Server in Four Steps

1

Import GCP API Spec

Upload the OpenAPI spec for any GCP service. Google publishes Discovery docs for every API — MigrateForce converts them automatically.

2

Map Endpoints to Tools

Review auto-generated MCP tool names and descriptions. Exclude admin-only or destructive endpoints. Customize tool groupings.

3

Generate MCP Server

Set your GCP project base URL and auth pattern. MigrateForce generates a complete MCP server with input validation and error handling.

4

Deploy and Connect

Download the generated code. Deploy alongside your infrastructure. Connect to Claude Desktop, your agent framework, or any MCP client.

MCP Servers + Skills = Intelligent Agents

An MCP server gives agents the ability to call GCP APIs. A Skill teaches them when and why to use each tool. Together, they turn a generic AI assistant into a GCP-fluent infrastructure operator.

MCP Server

Generated from your GCP API spec. Defines what tools exist and how to call them.

Skill Bundle

Encodes domain knowledge — cost optimization rules, security best practices, scaling heuristics. Guides agent decision-making.

CLI Orchestration

Manage the full lifecycle from your terminal — generate, test, deploy, update.

# Upload a GCP API spec
$ migrateforce upload --spec gcp-compute-v1.json
# Review generated tool mappings
$ migrateforce mappings list --project gcp-compute
# Generate the MCP server
$ migrateforce generate --project gcp-compute
# Attach a GCP operations skill
$ migrateforce skills attach gcp-ops --project gcp-compute
✓ MCP server generated at ./gcp-compute-mcp/
✓ Skill bundle attached: gcp-ops v1.2

Ready to Make Your GCP APIs Agent-Accessible?

Upload a GCP API spec and generate your first MCP server in minutes.