Inventory Intelligence & Optimizer
ai.saifsPublished by saifs.aiOfficial publisherv1.0.1Updated Oct 24, 2026
Analyze inventory levels and optimize stock allocation to reduce waste and avoid stockouts.
The publisher's own server: Customer Intelligence & Segmentation
Overview
Remote MCP server that analyzes a stock list and sales history to recommend order quantities, reorder points and supplier-grouped purchase lists.
- What you can do
- Run inventory optimization on a stock list, with optional sales history, to get order quantities, reorder points, safety stock, overstock and cash tied up in stock
- Accept ordinary business column names such as Item Code, Closing Stock, Open PO and Lead Time without renaming
- Get a buying list grouped by supplier, optionally within a stated budget
- Retrieve a runnable Python script that performs the same analysis locally for larger stock books
- When to use it
- Useful when you have a stock report or sales history and want to know what to reorder this week, how much to order, which items are overstocked, or how much cash is tied up in inventory. Also suited to building a supplier-grouped purchase list under a budget.
- Requirements
- A remote Streamable HTTP endpoint; nothing to install. OAuth 2.1 sign-in with PKCE and dynamic client registration, so the client opens a sign-in page on first use. No environment variables or headers declared. The hosted tool is sized for roughly 200 products and 2,500 sales rows.
Installation
In SourceWeft
- Open Inventory Intelligence & Optimizer in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.saifs%2Finventory-intelligence-optimizer/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"inventory-intelligence-optimizer": {
"type": "http",
"url": "https://inventory-optimizer-mcp.saifs.ai/mcp"
}
}
}README
Inventory Intelligence & Optimizer
Takes a stock list (and sales history if available) and returns order quantities, reorder points, safety stock, overstock, cash tied up in inventory, and a buying list grouped by supplier. Accepts normal business column names (Item Code, Closing Stock, Open PO, Lead Time…) without renaming.
Install
VS Code / GitHub Copilot
Add to .vscode/mcp.json (workspace) or your user mcp.json:
Then start the server from the MCP view and sign in when prompted.
Claude (claude.ai, Desktop)
Settings → Connectors → Add custom connector, and paste:
Claude Code
Any other MCP client
Point it at https://inventory-optimizer-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a
WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.
Tools
Example prompts
- “Here's our stock report. What should we order this week and how much?”
- “Which items are overstocked and how much cash is stuck in them?”
- “Build a purchase list grouped by supplier within a budget of ₹5,00,000.”
Support
- Website: https://saifs.ai
- Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
- Privacy: https://saifs.ai/privacy_policy
Source: servers/inventory-intelligence-optimizer/README.md at commit 2b4eab8
Tools
0Version history
2- v1.0.1LatestOct 21, 2026
- v1.0.0Sep 16, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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