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Query 1C stock and sales data in natural language for fast business insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "1C MCP Sales Analyst" yet — see the docs or source repo.
Analyze the last 30 days of sales data in 1C, list the top 10 and bottom 10 products by sales, and indicate whether inventory is sufficient.
A ranked list of product sales, related stock status, and key items needing restock or clearance.
Summarize current inventory by warehouse, identify products below safety stock, and rank them by risk level.
A list of low-stock items by warehouse, prioritized risk levels, and brief replenishment suggestions.
Compare this month versus last month in revenue, units sold, and major category changes, then summarize reasons for growth and decline.
A monthly sales comparison summary with key changes, trend assessment, and likely reasons.
Connect AI agents to 1C:Enterprise data through MCP and REST APIs.
Search 1C Enterprise configuration docs in natural language to find key objects.
Use natural language to query 1C.ai, analyze code, and search docs.
Search and analyze 1C metadata and BSL code with natural language.
Query and interact with 1C:Enterprise databases via COM without database changes.
Query CSMAR financial, stock, and company data through natural language.