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Summary
MPSTATS marketplace analytics for Wildberries and Ozon: estimated sales and revenue, prices and stock per warehouse and size for any item, search queries and positions, competitors of an item, and figures and trends of niches, categories, brands and sellers. Read-only.
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Example prompts for MPSTATS
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
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MPSTATS + Microsoft Copilot
MPSTATS marketplace analytics for Wildberries and Ozon: estimated sales and revenue, prices and stock per warehouse and size for any item, search queries and positions, competitors of an item, and figures and trends of niches, categories, brands and sellers. Read-only.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
MPSTATS_API_TOKEN
Step 1 — Get credentials
Setting up takes about 2 minutes. You need an MPSTATS account whose plan includes API requests.
- Sign in at https://mpstats.io, open the account settings and copy the token from the API token block into
MPSTATS_API_TOKEN. - Install the connector and run
mpstats_wb_get_keyword_frequencywith a query such asджинсы: it returns a weekly series and confirms the token.
The token is sent in the X-Mpstats-TOKEN header. It changes when the account password is changed or Change API token is pressed; paste the new one then.
Market data, not your seller cabinet: MPSTATS collects public data from Wildberries and Ozon, so the connector reads any item, niche, category, brand or seller, yours or a competitor's. It does not reach your own seller cabinet: for your orders, finances and stock use the Wildberries or Ozon connector.
Identifiers: items are marketplace SKUs, the Wildberries article number (nmId) or the Ozon SKU. When you only have a name, the AI resolves it first with mpstats_wb_find_items or mpstats_oz_find_items (SKUs or a keyword), mpstats_wb_search_subjects, mpstats_oz_search_niches, mpstats_wb_search_sellers, mpstats_oz_search_sellers or mpstats_wb_search_brands. Wildberries subjects and Ozon niches and sellers use numeric ids; categories are full paths with /, exactly as MPSTATS shows them (for example Женщинам/Джинсы); brands are names.
What it reads on Wildberries:
- One item: the full card (brand, seller, rating, FBO and FBS stock, orders, price and discount, sizes, photos, first seen date); one row per day with sales, estimated revenue, stock, price and discounts, rating, comments, average category position and visibility, optionally with search positions and traffic; a search summary compared with the previous period (number of queries, average organic and ad position, visibility, estimated traffic); the search queries it ranks for, with frequency and its organic and ad position per day; stock and sales by warehouse and by size, to spot sold-out sizes.
- Competitors of an item: what Wildberries shows as similar on the item page, items whose similar block shows this SKU, items Wildberries marks as identical, and similar items matched by MPSTATS, each with sales, revenue, price and stock.
- Niches (subjects) and categories: their items with sales, revenue, price, stock, rating and position; a split by subcategories, subjects, brands or sellers; and market figures per day, week, month or quarter (sales, revenue, average price, stock, items, brands and sellers with sales) for trend and seasonality.
- Sellers and brands: their items with sales, revenue, price and stock. Seller search also returns the INN.
- Search demand: how often a query is searched on Wildberries, as a weekly series.
What it reads on Ozon: item lookup and the full card; daily sales, revenue, stock, price, rating and comments; search queries with frequency and positions; positions in each category per day; stock per warehouse on one day (FBO, optionally FBS); sales by warehouse; similar items matched by MPSTATS. Niches and their items; categories with their items, a split by subcategories, niches, brands or sellers, and the trend per day, week, month or quarter; sellers (with OGRN) and brands with their items.
Periods and figures: d1 and d2 are YYYY-MM-DD, and the AI always passes them because the default period differs from method to method. Data runs to yesterday. Sales and revenue are MPSTATS estimates from public marketplace data, in roubles; treat them as estimates, not as the seller's accounting. fbs=1 adds sales shipped from the seller's own warehouse (FBS), 0 counts marketplace warehouses (FBO) only.
Paging, sorting and filters: list tools return startRow, endRow, total and data, at most 500 rows per call; the AI pages by moving startRow and endRow. sortModel sorts, for example [{"colId": "revenue", "sort": "desc"}], and filterModel filters columns, for example revenue greater than 100,000 (text filters: equals, contains, startsWith; number and date filters: lessThan, greaterThan, inRange).
Read-only: every tool only reads, so there is nothing to confirm and no tool is switched off at install.
Cost and limits: every call counts against the request quota of your MPSTATS plan, the test call included. The AI keeps periods short and pages small, and reuses what it already fetched instead of calling again.
Common errors: 401 means a wrong or changed token. 429 means the plan's request quota is used up; the message says why and Retry-After says when to retry. 202 means MPSTATS is still preparing the report: call again a little later. 500 carries the reason in message.
The connector changes nothing on Wildberries or Ozon: it does not edit cards, prices or ads, and it does not read your orders, payouts or seller reports.
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Microsoft Copilot
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Microsoft Copilot uses MCP servers through agents built in Copilot Studio: you add AnythingMCP to an agent as a tool, then publish the agent to Microsoft 365 Copilot and Teams. Copilot Studio connects from Microsoft's cloud over Streamable HTTP, which AnythingMCP supports.
- In Copilot Studio, open your agent (or create one), go to Tools and choose Add a tool → New tool → Model Context Protocol.
- Enter a Server name (for example
AnythingMCP), a Server description that says what the connector does, and the Server URLhttps://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID. Copilot Studio uses the description to decide when to call the server. - Under authentication, choose API key, set Type to Header and the header name to
X-API-Key, then select Create. - In Add tool, choose Create a new connection, paste an MCP API key from AnythingMCP (MCP Servers → your server → API keys) and select Add to agent.
- Try it in the agent's Test pane: ask for something that needs the
MPSTATStools. - Select Publish, then Channels → Microsoft 365 and Microsoft Teams, keep Make agent available in Microsoft Copilot selected and choose Add channel. See agent in Teams installs it for you; in Microsoft 365 Copilot, type @ and pick the agent.
Prefer per-user sign-in? Choose OAuth 2.0 → Dynamic discovery instead of an API key: each user then signs in to AnythingMCP the first time the agent calls it.
Self-hosting? Use your instance's public HTTPS address instead of https://cloud.anythingmcp.com. Copilot Studio connects from Microsoft's cloud, so localhost does not work.
Available tools
| Tool | What it does |
|---|---|
mpstats_wb_find_items | Wildberries: look up items by SKU list or by a keyword |
mpstats_wb_get_item | Wildberries: full card of one item: name, brand, seller, rating, stock (FBO/FBS), orders, price and discount, sizes, photos, first seen date |
mpstats_wb_get_item_sales | Wildberries: one row per day for an item: sales, estimated revenue, stock, price and discounts, rating, comments, average category position… |
mpstats_wb_get_item_search_stats | Wildberries: search summary of an item for a period compared with the previous one: number of search queries it ranks for, average organic… |
mpstats_wb_list_item_keywords | Wildberries: search queries an item ranks for, with query frequency, results count and the item's position per day (organic and… |
mpstats_wb_get_item_stock_by_warehouse | Wildberries: stock of an item per Wildberries warehouse (store id, name, balance) for the period |
mpstats_wb_get_item_stock_by_size | Wildberries: stock of an item per size for the period, to spot sizes that are sold out |
mpstats_wb_get_item_sales_by_warehouse | Wildberries: sales of an item for the period split by warehouse |
mpstats_wb_get_item_sales_by_size | Wildberries: sales of an item for the period split by size or variant |
mpstats_wb_list_related_items | Wildberries: competitor items related to one SKU, with sales, revenue, price and stock for the period. relation: similar = what Wildberries… |
mpstats_wb_search_subjects | Wildberries: find subjects (niches, the product type such as "Джинсы") by name, with their id, parent category, commissions and market… |
mpstats_wb_list_subject_items | Wildberries: items of a subject (niche) with sales, revenue, price, stock, rating and position for the period; sales count only the days… |
mpstats_wb_list_subject_breakdown | Wildberries: a subject (niche) split by its categories, brands or sellers, each with items, sales and revenue for the period |
mpstats_wb_get_subject_trend | Wildberries: market figures of a subject (niche) per day, week, month or quarter: sales, revenue, average price, stock, items, brands and… |
mpstats_wb_list_category_items | Wildberries: items of a category with sales, revenue, price, stock, rating and category position for the period |
mpstats_wb_list_category_breakdown | Wildberries: a category split by subcategories, subjects (niches), brands or sellers, each with items, sales and revenue for the period |
mpstats_wb_get_category_trend | Wildberries: market figures of a category per day, week, month or quarter: sales, revenue, average price, stock, items, brands and sellers… |
mpstats_wb_search_sellers | Wildberries: find sellers by name, with their id (supplier_id), INN, items and sales |
mpstats_wb_list_seller_items | Wildberries: items of a seller (your own shop or a competitor) with sales, revenue, price and stock for the period |
mpstats_wb_search_brands | Wildberries: find brands by name, with their items and sales |
mpstats_wb_list_brand_items | Wildberries: items of a brand with sales, revenue, price and stock for the period |
mpstats_wb_get_keyword_frequency | Wildberries: how often a search query is searched on Wildberries, as a weekly series (date, frequency) |
mpstats_oz_find_items | Ozon: look up items by SKU list or by a keyword |
mpstats_oz_get_item | Ozon: full card of one item: name, brand, seller, rating, stock, price, category and figures for the period |
mpstats_oz_get_item_sales | Ozon: one row per day for an item: sales, revenue, stock, price, rating and comments. withSearchStats=1 adds search positions and traffic |
mpstats_oz_list_item_keywords | Ozon: search queries an item ranks for, with query frequency and its positions |
mpstats_oz_get_item_category_positions | Ozon: positions of an item in each of its categories per day |
mpstats_oz_get_item_stock_by_warehouse | Ozon: stock of an item per Ozon warehouse on one day (date), FBO and optionally FBS |
mpstats_oz_get_item_sales_by_warehouse | Ozon: sales of an item for the period split by the warehouse they shipped from |
mpstats_oz_list_similar_items | Ozon: items similar to one SKU (competitors as matched by MPSTATS) with sales, revenue, price and stock for the period |
mpstats_oz_search_niches | Ozon: find niches (product types) by name, with their id (category_id), name and market figures |
mpstats_oz_list_niche_items | Ozon: items of a niche with sales, revenue, price and stock for the period |
mpstats_oz_list_category_items | Ozon: items of a category with sales, revenue, price and stock for the period |
mpstats_oz_list_category_breakdown | Ozon: a category split by subcategories, niches, brands or sellers, each with items, sales and revenue for the period |
mpstats_oz_get_category_trend | Ozon: market figures of a category per day, week, month or quarter: sales, revenue, average price, stock, items, brands and sellers |
mpstats_oz_search_sellers | Ozon: find sellers by name, with their id (supplier_id), OGRN, items and sales |
mpstats_oz_list_seller_items | Ozon: items of a seller with sales, revenue, price and stock for the period |
mpstats_oz_list_brand_items | Ozon: items of a brand with sales, revenue, price and stock for the period |
Example prompts
- "How many units did Wildberries item 123456789 sell per day over the last 30 days, and when did it run out of stock?"
- "Which sizes of this Wildberries item are sold out, and in which warehouses is stock left?"
- "Show the top 20 items of the Wildberries niche "Джинсы" by revenue last month, with price and seller."
- "Which search queries does Ozon SKU 987654321 rank for, and at which positions?"
- "Show the monthly revenue of the Wildberries category Женщинам/Платья over the last year: when is the season?"
FAQ
Which Copilot is this for? Microsoft 365 Copilot at work, through agents built in Copilot Studio. The Microsoft Copilot app for personal accounts has no option to add your own MCP server.
What do I need? A work account with access to Copilot Studio (a license or a trial) to build the agent. People who use it in Microsoft 365 Copilot or Teams need access to the agent: share it with them, or ask an admin to publish it to the organization. If your organization applies data policies to Power Platform connectors, they cover MCP servers too.
The agent doesn't call the tools. Check that the header name is exactly X-API-Key and that the key belongs to the same MCP server as the URL, and make the server description specific: Copilot Studio uses it to decide when to call the server. Publish the agent again after each change; in an open chat, type "start over" to get the new version.
Next steps
- Connector landing page
- Connect to Claude
- Connect to ChatGPT
- Connect to Cursor
- Connect to Gemini
- Connect to Meta Muse
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