Усильте агента
Собственный URL издателя. Не эндпоинт PlugMCP.
Host a copy with our keys and logs.
https://api.synlake.ai/mcpКнопка Claude выше открывает Claude с заполненными названием и URL. Подтвердить добавление всё равно нужно там.
claude mcp add --transport http io.github.synlake-ai-mcp-server https://api.synlake.ai/mcpRun in a terminal.
{ "mcpServers": { "io.github.synlake-ai-mcp-server": { "command": "npx", "args": [ "-y", "mcp-remote", "https://api.synlake.ai/mcp" ] } }}claude_desktop_config.json
Удалённый URL или команда на вашем компьютере? Чем различаются два способа установки
Запустить на PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
ЗапускОт издателя
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.
Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.
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
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.
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<br/>cost + constraints]
E --> F[Execution-kit generator<br/>Terraform + CLI]
F --> G[Guardrails & validation<br/>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.
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" }
}
}
}
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 (100 calls/month, no card required). The estimate endpoint is even callable without a key — zero friction to try.
Full reference (OpenAPI 3.1, rendered): synlake.ai/docs. Local copy: docs/openapi.yaml. Machine-readable summary for agents: synlake.ai/llms.txt.
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.
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).
Pay per call. No subscriptions, no commitments. Free tier: 100 calls/month, no card required.
ai.synlake/synlake — registry.modelcontextprotocol.ioThe 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 — [email protected]
Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.
{ "mcpServers": { "io.github.synlake-ai-mcp-server": { "url": "https://api.synlake.ai/mcp", "headers": {} } }}Инструменты
Списка инструментов пока нет. У удалённых серверов он появляется после первой проверки состояния.
FAQ
Скопируйте на этой странице конфигурацию http для Cursor, Claude Desktop, Claude Code или VS Code. Она использует установку издателя, а не прокси PlugMCP.
В этой записи не указано обязательных переменных окружения.
Synlake — Cloud Infrastructure For AI Agents доступен по HTTP.
Последняя проверка: 2026-11-09. Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.