Synlake MCP Server
Unified API for AI agents to deploy cloud infrastructure across AWS, Azure, and GCP autonomously
Documentation
Platform How it works Compare Docs API Reference
Data Infrastructure for AI Agents
The data layer your AI agents deserve.
One API. Three clouds. Milliseconds.
Your agent describes what it needs — Synlake returns the best option across AWS, Azure, and GCP with Terraform, CLI commands, and cost estimates.
Get free API key Try live demo
MCP compatible Live on Smithery AWS · Azure · GCP
POST /v1/infrastructure/query — 200 OK · 187ms
{ "status": "success", "recommendation": { "provider": "aws", "instance": "t3.medium", "region": "us-east-1", "monthly_cost": 29.95, "execution_kit": { "terraform_hcl": "resource "aws_instance"...", "cli_command": "aws ec2 run-instances...", "validation": "passed" } }, "alternatives": 4, "guardrails": "budget_ok | region_ok" }
Live on MCP Registry Live on Smithery 100 free API calls / month 3 cloud providers normalized
Try it now — no signup required Copy
curl -X POST https://api.synlake.ai/v1/infrastructure/query
-H "Content-Type: application/json"
-d '{"intent":"compute","service":"compute","requirements":{"vcpus_min":2,"memory_gb_min":4},"constraints":{"budget_monthly_max":100,"providers":["aws"]}}'
The Problem
Cloud infrastructure wasn't
designed for agents.
Today's stack assumes a human at a dashboard. Autonomous agents need machine-ready data — normalized, costed, and executable.
Fragmented data sources
AWS, Azure, and GCP each expose different schemas, pricing models, and APIs. Agents waste cycles on adapters.
No machine-ready standard
Cloud documentation is for humans. Without a normalized JSON contract, every integration is bespoke glue code.
Manual execution loop
Agents can plan but can't safely act. No cost guardrails, no validation — a human stays in the loop.
Platform
One API for every cloud.
Normalize, execute, validate, and audit — all from a single endpoint.
Normalize Execute Validate Audit
Multi-cloud normalization
Unified JSON schema across AWS, Azure, and GCP. One contract for compute, storage, and databases — always machine-ready, always current.
View schema docs →
{ "service": "compute", "provider": "aws", "instance": "t3.medium", "specs": { "vcpus": 2, "memory_gb": 4, "network": "moderate" }, "price_per_hour": 0.0416, "regions": ["us-east-1", "eu-west-1"] }
Automatic execution kits
Terraform HCL, CLI commands, and API calls — generated and validated on demand. Ready to run, no glue code.
Quickstart guide →
Terraform HCL — auto-generated
resource "aws_instance" "synlake_agent" { ami = "ami-0c55b159cbfafe1f0" instance_type = "t3.medium" tags = { Name = "agent-42-compute" } }
CLI command — ready to paste
aws ec2 run-instances \
--image-id ami-0c55b159cbfafe1f0 \
--instance-type t3.medium
Financial guardrails
Budget caps, region policies, and cost simulation enforced before execution. Every query validates constraints automatically — no surprise bills.
Validation API →
{ "validation": "passed", "checks": { "budget": "$29.95 < $100 limit ✔", "region": "us-east-1 allowed ✔", "security": "no public access ✔", "encryption": "EBS encrypted ✔" }, "spending_cap": { "monthly_limit": 100, "used": 29.95, "remaining": 70.05 } }
Full audit trail
Every query logged with request, response, cost, and timestamp. Complete accountability for compliance and cost tracking.
Usage API →
{ "log_id": "req_8f2a4b6c", "timestamp": "2026-06-01T14:23:07Z", "agent": "agent-42", "endpoint": "/v1/infrastructure/query", "provider": "aws", "cost_estimate": 29.95, "response_ms": 187, "status": "success", "guardrails": "all_passed" }
How it works
Intent to infrastructure
in five steps.
1
Agent requests
"I need Postgres in AWS, under $50/mo"
2
Synlake discovers
Normalizes options across every cloud, ranks by cost
3
Generates kit
Terraform + CLI + cost estimate as one JSON payload
4
Validates
Budget, region, compliance, and security checks
5
Ready to deploy
Execution kit returned to the agent, ready to run
Who it's for
Built for teams building
with AI agents.
AI agent developers
Your agent needs to provision infra on the fly. Synlake gives it a single API to query, compare, and get deploy-ready code across any cloud.
DevOps teams
Automate infrastructure decisions for your agent platform. Normalized data, cost guardrails, and audit trails out of the box.
Platforms & SaaS
Embed cloud provisioning into your product. Your users or agents get multi-cloud infrastructure without you building the abstraction layer.
Live Demo
See it in action.
This hits the real Synlake API. Configure your requirements and get a full execution payload back.
Terraform · CLI · cost estimate · policy validations Generate execution payload
Compare
Why Synlake.
You could wire up each cloud yourself. Here's why teams choose Synlake.
| Approach | Multi-cloud | Agent-ready JSON | Execution kit | Cost guardrails | Audit trail |
|---|---|---|---|---|---|
| DIY Terraform | Manual | No | You write it | No | No |
| Pulumi / Crossplane | Yes | No | Partial | No | Partial |
| Cloud provider SDKs | Single | Partial | No | No | Partial |
| Agent frameworks | Via tools | Partial | No | No | No |
| Synlake | 3 clouds | 100% | Full kit | Built-in | Every call |
3
Cloud providers
~200ms
Avg response time
100%
Deterministic
5
Regions live
66
Instance types
Start building in 30 seconds.
100 free API calls every month. No credit card required.
Get free API key
Free Tier
$0
100 calls / month
✓ Cost estimates
✓ Multi-cloud comparison
✓ Terraform HCL + CLI
✓ No credit card required
Pay as you go
$0.01
starting per API call
$0.01 — estimate
$0.05 — query (basic)
$0.10 — query + execution kit
$0.05 — validate (dry-run)
Activate billing
Spending caps — set a monthly limit per agent. Synlake blocks requests when the cap is reached. Zero surprise bills.
Ready to build?
Ship infrastructure
at the speed of agents.
Join the teams using Synlake to normalize, execute, and audit cloud infrastructure — all via API.
Get free API key Read the docs