Every agent. Your AWS.
Real guardrails.
Infralista is the AWS platform AI agents safely operate on. A tested foundation of CI/CD, monitoring, and cost controls — plus an MCP server inside your own account that gives Claude, Cursor, and your own agents scoped access to real infrastructure. No data exfiltration, no broken prod.
The hinge
Building is a weekend.
Running is three years.
Claude can generate a CloudFront config in 30 seconds. Operating AWS for three years through provider deprecations, security advisories, drift, and personnel turnover is a different muscle.
Infralista is that muscle, encoded. Tested modules that survived real outages, scoped IAM, and an MCP server that gives your agents a deliberately narrow set of tools — instead of the keys to your account.
One command. Real infrastructure.
A staging environment, fully provisioned, monitored, and ready to deploy to.
▋MCP server
The substrate your agents run on
An MCP server deployed inside your own AWS account. Single-tenant, image-pinned, and scoped by IAM. Claude, Cursor, and your own agents connect to it the same way they connect to any other MCP server — but the tools they get are governed by Infralista, not the model.
Connect
Deploy the MCP server into your AWS account with one Terraform module. Image pinned, IAM scoped, CloudTrail audited.
Configure
Define each agent's tool allowlist and IAM role in YAML. Read-only by default; scoped writes land behind approval gates.
Monitor
Watch every prompt, tool call, cost, and guardrail event in your own CloudWatch and Grafana dashboards.
A real agent call, end to end
Read-only today. Same shape as scoped writes ship behind approval gates.
▋Watch a full deploy
What You Get
Everything a startup needs on AWS
A complete platform, not a pile of scripts you have to glue together yourself.
Multi-Environment Management
Spin up dev, staging, and production environments with a single command. Tear them down just as fast. Each environment is isolated, versioned, and reproducible.
CI/CD Pipelines
GitLab CI pipelines with OIDC authentication. Zero static AWS credentials in your codebase. Multi-arch Docker builds, automatic versioning, and one-click deploys.
Grafana Dashboards
Real-time billing, traffic analytics, and geo-visitor maps provisioned automatically for every environment. You can see what your infrastructure is doing the moment it goes live.
Cost Controls Built In
Budget alerts at 50%, 80%, and 100% thresholds. Sleep mode shuts down non-production environments on schedule, cutting costs by up to 60%.
Infrastructure as Code
Everything defined in Terraform + Terragrunt. No ClickOps, no drift, no mystery resources. Your infrastructure is versioned, reviewable, and reproducible.
You Own Everything
No multi-tenant SaaS. The platform — MCP server, Terraform modules, CI/CD, dashboards — runs in your AWS account, in your Git repos, under your IAM. Agent calls and inference never leave your account. Cancel and the system keeps running.
How It Works
From zero to production in three steps
Built on opinionated, reusable modules
30+ Terraform modules, GitLab OIDC auth, SSM-driven runtime config, and automated Grafana provisioning.1. Install
One Terraform module deploys the foundations into your AWS account — networking, DNS, observability, MCP server. Forward-deployed engineering from our side drives week one; your team owns the keys from day zero.
2. Configure
Environments, agent profiles, and CI/CD pipelines defined in YAML in your Git repo. We pair on the first round; code review stays with your team.
3. Operate
Your developers run the CLI. Your agents call the MCP server. We stay engaged for module updates, dashboard changes, and incident support as part of the subscription.
Monitoring without the setup
Every environment gets Grafana dashboards automatically: billing, traffic, and geo-analytics.Automated CI/CD
GitLab pipelines with OIDC federation, so there are zero static credentials. Every deploy is traceable, versioned, and reproducible.
Traffic Analytics
CloudFront access logs queried through Athena with no separate database to manage. See requests, error rates, and top paths in real time.
Agents, governed
Your agents, on your platform
Claude, Cursor, and your own agents connect to the MCP server like any other tool. The difference is what they can do once they're connected — scoped by IAM, gated by guardrails, audited in the same CloudWatch dashboard your team already trusts.No data exfiltration
Inference runs through your own Amazon Bedrock. Prompts, tool results, and responses stay within your AWS account boundary. No third-party SaaS sees your traffic or environment data.
Tool tiers, not trust
Each agent profile maps to a distinct IAM role and tool allowlist. Tier 1 is read-only. Scoped writes land behind plan-only and approval gates. Production writes need a human in the loop.
Hard spend caps at the platform layer
Monthly limits enforced through AWS Budgets, not the honor system. Set the ceiling at $50 or $500. The platform stops calls when you hit it.
Security & compliance
Built to survive a security review
The same discipline that keeps agents in their lane hardens the whole platform. Controls are code — reviewed, versioned, and auditable — so a vendor-risk questionnaire is mostly a matter of pointing at the repo.
SOC 2-aligned controls
Scoped IAM per environment, change management through pull requests, and CloudTrail audit logging in every account — mapped to the Trust Services Criteria your auditors already use.
No standing credentials
OIDC federation means zero long-lived AWS keys for CI or agents to leak. Every role is assumed, scoped to one environment, and expires — nothing sits in a config file waiting to be stolen.
Ransomware-resistant by design
Multi-layer Terraform deletion guards protect production. A compromised role can't casually destroy or re-encrypt what protected_env defends — destructive changes require an explicit, reviewed override.
Audit & tagging built in
Every resource is tagged and inventoried. An audit module flags untagged, drifted, or orphaned resources before they turn into an audit finding — or a surprise bill.
Single-tenant, in your account
MCP server, inference through your own Bedrock, and every byte of environment data stay inside your AWS boundary. There is no vendor-side multi-tenant SaaS to add to your data map.
Tracks the AI frameworks
The agent layer is structured around ISO/IEC 42001 principles for AI management and tracks the EU AI Act, so the governance story is ready when your customers' regulators ask for it.
Straight talk: Infralista is SOC 2-aligned, not yet SOC 2 certified, and we track ISO/IEC 42001 and the EU AI Act rather than claim certification. We'll tell you exactly what's shipped versus on the roadmap — that's the kind of vendor you want touching production.
Ready for AI-speed threats
AI makes attacks faster and more numerous. When tooling drops a flood of new exploits at once, your response should be a single pipeline run across every environment — not a server-by-server scramble. Because the whole platform is code, it is.
Shipped — shrinks the blast radius
- No standing credentials. OIDC means a harvested key expires — nothing static to steal.
- Least-privilege IAM + read-only agents. A hijacked agent can't act destructively.
- Deletion guards. Even a compromised role can't wipe prod without a reviewed override.
- Everything as code + CloudTrail. A known-good state to detect tampering and rebuild from.
On the roadmap — defense at machine speed
- Fleet-wide patch/CVE pipeline. One run rebuilds and redeploys every environment when a vuln drops.
- Policy-as-code + dependency scanning in CI. Catch misconfigs and vulnerable deps before they deploy.
- Prompt-injection & agent-abuse defenses. Anomaly detection and spend caps that halt a runaway agent at the MCP layer.
- Cross-account immutable backups. Rapid rebuild for ransomware recovery.
Most teams are bolting ungoverned AI onto production — that's the new attack surface. Infralista makes the agent the most-governed thing in your account, so adopting it reduces your AI-attack surface instead of adding to it.
What gets deployed
Networking & DNS
VPC with public/private subnets, Route 53 hosted zones, ACM certificates, and optional NAT gateway.
Compute & Storage
CloudFront distributions, S3 static hosting, ECS Fargate services, Lambda functions, and ECR container registries with lifecycle policies.
CI/CD & Security
GitLab OIDC federation (zero static keys), multi-arch Docker builds, automatic semantic versioning, and IAM least-privilege roles.
Observability & Cost
Grafana dashboards (billing, traffic, geo-analytics), CloudWatch alarms, budget alerts, CloudTrail audit logging, and sleep mode scheduling.
AI Access Layer
A single-tenant MCP server in your own AWS account — image-pinned, IAM-scoped, and CloudTrail-audited. Claude, Cursor, and your own agents get governed, read-only-by-default access to your infrastructure.
FAQs
Frequently Asked Questions
How is this different from hiring a DevOps freelancer?
A freelancer builds custom infrastructure from scratch. It can take months and the result is unique to them. We deploy a proven, modular platform in hours. You also get ongoing updates and support, not a one-time handoff with no documentation.
What if we already have some AWS infrastructure?
We can work alongside existing resources. The platform is modular, so you enable only what you need. We can also migrate existing setups incrementally.
Do we need a DevOps engineer on our team?
No. That's the point. The platform is designed so your developers can manage environments with a simple CLI. For anything beyond that, our support tiers have you covered.
What happens if we want to stop using Infralista?
Everything stays in your AWS account and Git repos. The Terraform modules, CI pipelines, and Grafana dashboards are all yours. There is no proprietary lock-in.
How much does the AWS infrastructure actually cost?
A dev environment with sleep schedules runs as low as $20/month on AWS. Production costs depend on your traffic and which services you enable. We help you optimize for your budget.
Can you handle multi-region or multi-account setups?
Yes. The platform supports ECR cross-account replication, multi-region CloudTrail, and per-account naming strategies. These are typically part of our Premium or Enterprise tiers.
Where does our data go when an agent answers a question?
Nowhere outside your AWS account. The MCP server runs in your account; inference runs through your own Amazon Bedrock. Prompts, tool calls, and responses traverse the same IAM boundary as the rest of your infrastructure. No third-party SaaS, no exfiltration, and the same CloudWatch audit logs your team already trusts.
How is the MCP server different from giving Claude a Bash tool?
A Bash tool gives the model whatever your shell can do. The MCP server gives it a deliberately narrow set of tools scoped per agent profile — read CloudFront logs but not Route 53, query Cost Explorer but not run terragrunt apply. Each profile is a YAML file in your git repo with its own IAM role, tool allowlist, and eval suite. Adding a capability is a code review, not a prompt.
Are you SOC 2 certified?
We're SOC 2-aligned, not yet certified — and we say so plainly. The controls auditors look for are built in: scoped IAM per environment, change management through pull requests, CloudTrail audit logging, and least-privilege roles. Because the platform runs in your account under your IAM, it slots into your existing compliance program rather than adding a third-party SaaS to your scope. We track ISO/IEC 42001 and the EU AI Act for the agent layer.
What stops a compromised role from wiping or encrypting our infrastructure?
Multi-layer Terraform deletion guards. Production resources are marked protected, so a destroy or replace requires an explicit, reviewed override (protected_env) rather than a single command. Combined with OIDC (no standing credentials to steal), CloudTrail audit logging, and IAM least-privilege, the blast radius of a leaked credential is deliberately small. Cross-account state backups are on the roadmap.
Do you support GitHub, or only GitLab?
Today the platform runs on GitLab CI with OIDC federation. GitHub Actions support is on our roadmap. The pattern that matters — OIDC-federated roles, zero static keys, pipeline-as-code — ports cleanly to GitHub, so for a team already standardized on GitHub it's a deliberate swap, not a rebuild. If GitHub is a requirement for your team, tell us and we'll prioritize it.
Ready to stop managing infrastructure
and start shipping product?
Get a free infrastructure audit. We'll review your current setup, identify gaps, and show you exactly what Infralista would look like in your AWS account.