Infrastructure Auto Provisioner

Created By
zerosync-coa year ago
ZeroSync’s AI-driven infrastructure provisioning tool enhances deployment capabilities, particularly for AI and agentic application initiatives. This tool provides: Increased visibility into deployment complexities, simplifying DevOps processes. Reduced DevOps costs through automation and optimization. Greater flexibility for DevOps teams, enabling faster iteration and scalability. Integrates with existing IaC tools including Terraform and Pulumi.
Overview

what is Infrastructure Auto Provisioner?

Infrastructure Auto Provisioner is an AI-driven tool by ZeroSync designed to enhance deployment capabilities, particularly for AI and agentic application initiatives.

how to use Infrastructure Auto Provisioner?

To use the Infrastructure Auto Provisioner, you can run the command npx mcp-remote https://autoprovisioner-remote.zerosync.co/sse to initiate the provisioning process.

key features of Infrastructure Auto Provisioner?

  • Increased visibility into deployment complexities, simplifying DevOps processes.
  • Reduced DevOps costs through automation and optimization.
  • Greater flexibility for DevOps teams, enabling faster iteration and scalability.
  • Integration with existing Infrastructure as Code (IaC) tools like Terraform and Pulumi.

use cases of Infrastructure Auto Provisioner?

  1. Automating the provisioning of infrastructure for AI applications.
  2. Streamlining DevOps processes to reduce deployment times.
  3. Enhancing scalability for agentic applications through optimized resource management.

FAQ from Infrastructure Auto Provisioner?

  • What is the main benefit of using Infrastructure Auto Provisioner?

The main benefit is the automation and optimization of DevOps processes, leading to reduced costs and increased deployment efficiency.

  • Can it integrate with existing tools?

Yes! It integrates seamlessly with popular IaC tools like Terraform and Pulumi.

  • Is there a command to start the provisioning process?

Yes! You can use the command npx mcp-remote https://autoprovisioner-remote.zerosync.co/sse to start.

Server Config

{
  "mcpServers": {
    "autoprovisioner": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://autoprovisioner-remote.zerosync.co/sse"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
zerosync-co
Star
-
Language
-
License
-

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago