Power your agent
URL ของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
https://api.synlake.ai/mcpปุ่ม Claude ด้านบนจะเปิด Claude พร้อมกรอกชื่อและ URL ให้แล้ว คุณยังต้องยืนยันที่นั่นเอง
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
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน 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.
เปิดจากผู้เผยแพร่
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": {} } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก http สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Synlake — Cloud Infrastructure For AI Agents เข้าถึงได้ผ่าน HTTP
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.