Synlake — Cloud Infrastructure for AI Agents

Synlake MCP Server

The MCP connector for Synlake — B2AI infrastructure for autonomous agents. Synlake normalizes AWS, GCP, and Azure into one schema, generates ready-to-run execution kits (Terraform HCL + CLI), and prices them before deploy — so an AI agent can discover, evaluate, and provision cloud infrastructure with zero human intervention.

This repository is the open-source MCP server (a thin stdio ↔ HTTP proxy). The infrastructure intelligence — cross-cloud normalization, the cost engine, and execution-kit generation — runs as a hosted service at api.synlake.ai.

🌐 synlake.ai · 📖 Docs · 🔌 MCP: ai.synlake/synlake

An agent deploys infrastructure — no human in the loop

A coding agent needs a Kubernetes node pool. It doesn't open a cloud console, compare pricing pages, or hand-write Terraform. It asks Synlake, and gets back a deployable answer:

Agent → Synlake:  "compute, 4 vCPUs, 16 GB RAM, us-east-1, budget $100/mo"

Synlake → Agent: best: gcp · e2-standard-4 · $97.82/mo (19.5% cheaper than the priciest) also: aws t3.xlarge $121.47 · azure Standard_B4ms $121.18 kit: { terraform: "resource \"google_compute_instance\"…", cli: "gcloud compute instances create…" } ✓ validated: no public ingress, encryption on, within budget

The agent reviews the kit, applies the Terraform, and moves on. Every response is dense, deterministic JSON — built for machine consumption, not dashboards. Synlake tools are read-only: they recommend, price, and validate. A human (or the agent's own policy) runs the execution kit.

Architecture

flowchart LR

A[AI Agent] -- MCP / REST --> B[Synlake API] B --> C[Normalizer] C --> D1[AWS adapter] C --> D2[Azure adapter] C --> D3[GCP adapter] C --> E[Ranking engine cost + constraints] E --> F[Execution-kit generator Terraform + CLI] F --> G[Guardrails & validation budget · region · security] G --> H[Audit log] H --> A

An agent sends an intent. Synlake normalizes options across clouds, ranks them by cost and constraints, generates a deploy-ready execution kit, runs guardrail checks, logs the call, and returns one machine-ready payload. This repo ships the open-source MCP connector (the AI Agent ↔ Synlake API edge); the boxes to the right of Synlake API run as the hosted service.

Quickstart

Hosted (recommended) — MCP over Streamable HTTP

Point any MCP client at the hosted server — three lines, nothing to install:

{

"mcpServers": { "synlake": { "url": "https://api.synlake.ai/api/mcp", "headers": { "Authorization": "Bearer sk_synlake_YOUR_KEY" } } } }

Local stdio wrapper (this package)

For clients that speak stdio (e.g. Claude Desktop), run the npm wrapper — it proxies to the same hosted server:

{

"mcpServers": { "synlake": { "command": "npx", "args": ["-y", "@synlake-ai/mcp-server"], "env": { "SYNLAKE_API_KEY": "sk_synlake_YOUR_KEY" } } } }

Get a free API key at [synlake.ai](https://synlake.ai) (100 calls/month, no card required). The estimate endpoint is even callable without a key — zero friction to try.

Tools

Full reference (OpenAPI 3.1, rendered): [synlake.ai/docs](https://synlake.ai/docs). Local copy: docs/openapi.yaml. Machine-readable summary for agents: synlake.ai/llms.txt.

Why Synlake

Use it from a Claude Managed Agent

Wire Synlake as an mcp_toolset — the agent gets all five tools natively, your key stays in an Anthropic vault:

{

"type": "mcp_toolset", "name": "synlake", "server": { "url": "https://api.synlake.ai/api/mcp", "authorization_token": { "vault_secret": "synlake_api_key" } } }

See the MCP quickstart for the Managed Agents API, ant CLI, and Agent SDK flows.

Build from source

npm install

npm run build # tsc → dist/ (pure proxy) SYNLAKE_API_KEY=sk_synlake_... node dist/bin.js

SYNLAKE_API_URL overrides the remote endpoint (default https://api.synlake.ai/api/mcp).

Pricing

Pay per call. No subscriptions, no commitments. Free tier: 100 calls/month, no card required.

Links

• Website: synlake.ai
• Docs: synlake.ai/docs
• Source: github.com/synlake-ai/synlake
• npm: @synlake-ai/mcp-server
• MCP Registry: ai.synlake/synlake — registry.modelcontextprotocol.io
• Privacy: synlake.ai/legal/privacy.html — only what's needed to process queries. No conversation data, no profiling, no data sales.

License

The MCP connector in this repository is MIT licensed (see LICENSE). The Synlake service (api.synlake.ai) — the cost engine, cross-cloud normalization, and execution-kit generation — is proprietary.

El conector MCP de este repo es MIT. El servicio Synlake (api.synlake.ai) es propietario.

© Synlake, LLC — admin@synlake.ai