MCP · Model Context Protocol

    Your Inventory,
    Understood by AI

    AssetBlaze's MCP server gives Claude, ChatGPT, and any AI agent structured, secure access to your inventory — so it can act on your behalf, not just answer questions.

    claude — assetblaze mcp
    Which SKUs are below reorder point this week, and draft the purchase orders to fix it.
    🤖

    AssetBlaze MCP responds

    • 4 SKUs below threshold
    • matched 4 suppliers
    • PO-1042 drafted — Acme Supply $2,340
    • PO-1043 drafted — NovaParts $870
    • PO-1044 drafted — GreenStock $1,105
    • PO-1045 drafted — Brightfield $440

    Ready for your review. Approve to send?

    What is MCP?

    The protocol that makes AI actually useful for operations

    Model Context Protocol is an open standard developed by Anthropic. It gives AI assistants a secure, structured channel to read and act on data in external systems — without screen-scraping, brittle prompts, or handing over your credentials.

    Think of it as a typed, permissioned API layer that AI models natively understand. Instead of guessing what your inventory system can do, the AI knows — and can take action safely.

    AI Assistant
    Claude · ChatGPT · Gemini · Custom agent
    AssetBlaze MCP Server
    Secure · Typed · Permissioned
    inventory.query_stock
    purchase_orders.create
    sales_orders.list
    suppliers.get_catalog
    locations.transfer_stock
    Your Data
    Inventory · Orders · Suppliers
    Your Tools
    QuickBooks · Shopify · Xero

    How it works

    Three steps to an
    AI-powered inventory

    01 · CONNECT
    Add AssetBlaze to your AI client

    Add one line to your Claude Desktop or MCP-compatible client config. No SDK installation, no webhook setup, no API key juggling. It takes under two minutes.

    02 · PERMISSION
    Control exactly what the AI can access

    Grant read-only or read-write access per resource type. Restrict by location, team, or workflow. Your data never leaves AssetBlaze's infrastructure, and no credentials are shared with the AI.

    03 · ACT
    Ask in plain language. Watch it happen.

    Talk to your inventory the way you'd talk to a colleague. The AI queries stock levels, creates drafts, flags anomalies, and surfaces insights — all within the permissions you've set.

    What you can do

    Real workflows, not demos

    These aren't hypothetical examples. They're the exact queries AssetBlaze's MCP server handles today.

    Autonomous purchase order drafting
    ▸  "Which items are below reorder threshold? Draft POs for all of them and assign to preferred suppliers."

    The agent queries reorder alerts, matches each SKU to its preferred supplier from your catalogue, calculates order quantities, and creates draft POs — all in one turn.

    Purchasing
    Inventory intelligence reports
    ▸  "Summarise last month's stock movement across all locations. Flag anything with unusual burn rate."

    No more pulling CSV exports. The agent reads historical movement data directly, identifies statistical anomalies, and writes a plain-English summary with action recommendations.

    Analytics
    Instant availability checks
    ▸  "We just won a new contract for 500 units of SKU-881. Do we have enough stock, and what's the shortfall?"

    The agent queries current stock, accounts for committed inventory on open orders, checks inbound POs, and gives you a clear available-to-promise number — in seconds.

    Sales ops
    Cross-location transfer planning
    ▸  "Warehouse B is running out of fast-movers. What should we transfer from Warehouse A to cover the next 30 days?"

    The agent analyses burn rates per location, models 30-day demand, calculates the optimal inter-warehouse transfer quantities, and creates the transfer orders for your approval.

    Warehouse
    Dead stock identification
    ▸  "Which SKUs are sitting at over 180 days on hand? Give me options for liquidating or returning to supplier."

    The agent surfaces slow-moving inventory ranked by capital tied up, checks supplier return policies from your catalogue, and drafts a liquidation recommendation with financial impact estimates.

    Finance
    Automated replenishment workflows
    ▸  "Set up a daily reorder check for SKUs in category 'Electronics' and draft POs automatically if stock drops below minimum."

    Define natural-language rules that run on a schedule. The agent monitors your inventory, applies your conditions, and surfaces drafts for approval — without you touching the system.

    Automation

    Security model

    The AI can only do what you allow

    Every MCP request is authenticated, scoped, and logged. Your data stays in AssetBlaze's infrastructure. Nothing is ever sent to an AI model without your explicit permission grants.

    Credential isolation

    AI assistants receive scoped tokens, not your account credentials. Tokens can be revoked instantly from your AssetBlaze dashboard without affecting your main account.

    Permission scoping

    Grant read-only or read-write access per resource type — inventory, orders, suppliers, locations. A reporting agent can never accidentally trigger a purchase order.

    Full audit log

    Every tool call made by every AI agent is logged with timestamp, user context, and outcome. Replay any session, review agent actions, and spot issues before they become problems.

    Human-in-the-loop

    State-changing operations (create, update, delete) return drafts by default. Nothing is committed to your inventory without an explicit human approval step.

    Idempotency by design

    Every mutating endpoint is idempotency-keyed. If an AI agent retries due to a network timeout, you'll never end up with duplicate purchase orders or double-counted stock adjustments.

    No data egress

    AssetBlaze's MCP server returns structured responses — not raw database exports. Your supplier pricing, customer data, and stock levels are never bulk-transferred to a third-party AI.

    Quick start

    Live in 2 minutes

    Add AssetBlaze to Claude Desktop or any MCP-compatible AI client with a single config block. No code, no webhooks, no SDK.

    • 1
      Get your MCP token

      In AssetBlaze, go to Settings → API & Integrations → MCP. Generate a scoped token and choose your permission level.

    • 2
      Add to your AI client config

      Paste the config block into your claude_desktop_config.json or equivalent file.

    • 3
      Restart and start asking

      Relaunch your AI client. AssetBlaze will appear as a tool provider. Start with "What's my current stock level for…" and go from there.

    claude_desktop_config.json
    {
      "mcpServers": {
        "assetblaze": {
          "command": "npx",
          "args": [
            "-y",
            "@assetblaze/mcp-server"
          ],
          "env": {
            "ASSETBLAZE_TOKEN": "sk-ab-your-token-here",
            "ASSETBLAZE_ORG":   "your-org-slug"
          }
        }
      }
    }
    Available tools (excerpt)
    # Read operations
    inventory.query_stock
    inventory.query_reorder_alerts
    inventory.movement_history
    sales_orders.list
    purchase_orders.list
    suppliers.get_catalog
    locations.list_stock
    
    # Write operations (draft mode by default)
    purchase_orders.create_draft
    sales_orders.create_draft
    inventory.adjust_stock
    locations.create_transfer

    Common questions

    What people ask before they set it up

    Does MCP work with ChatGPT and other models, or only Claude?

    MCP is an open standard. It works with any client that supports it — Claude Desktop, Claude.ai, and any custom agent built with the MCP SDK. OpenAI compatibility is on our roadmap.

    Can the AI actually change my inventory data, or just read it?

    Both are possible, and you control which. Write operations create drafts by default and require explicit human confirmation. You can lock your token to read-only if you prefer.

    What plan do I need to access the MCP server?

    MCP access is included on all paid AssetBlaze plans. Read-only access is available on the free plan so you can evaluate it without upgrading first.

    Is my data sent to Anthropic or OpenAI when I use MCP?

    Only the structured response from a specific tool call is included in the AI's context. We never bulk-export your data. Your AI provider only sees the data relevant to each specific query.

    How is this different from your REST API?

    The REST API is designed for developers writing code. MCP is designed for AI agents operating autonomously — with semantic tool descriptions, structured error hints, and idempotency built in from the ground up.

    What if the AI makes a mistake and creates a wrong purchase order?

    Draft mode means all write operations are queued for your review, not committed automatically. You approve before anything reaches your suppliers. Idempotency keys also prevent duplicate operations from retry loops.

    Your inventory deserves an AI that can act on it

    Start free. Connect your MCP client in two minutes. No credit card, no implementation project.

    MCP Server — Let AI Agents Run Your Inventory | AssetBlaze