Toolstem Financial Intelligence
Agent-ready financial intelligence MCP server.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетНужен API-ключГлобальныйБесплатноМожет изменять данные
Что умеет
- Toolstem Toolstem Mcp Server: This tool calls the Actor "toolstem/toolstem-mcp-server" and retrieves its output results. Use this tool instead of the "call-actor" if user requests this specific Actor.
- Get Actor Output: Retrieve the output dataset items of a specific Actor run using its datasetId. You can select specific fields to return (supports dot notation like "crawl.statusCode") and paginate r
Какие данные видит
Нужен ли аккаунт
Нужен API-ключ из настроек сервиса
Agent-ready financial intelligence MCP server. Three curated tools for AI agents analyzing public equities:
- get_stock_snapshot — real-time price, valuation, DCF analysis, and analyst ratings with derived signals (UNDERVALUED / FAIRLY VALUED / OVERVALUED)
- get_company_metrics — profitability, financial health, cash flow, and 3-year CAGRs with derived signals (margin_trend, health_signal, growth_signal)
- compare_companies — side-by-side comparison of 2–5 companies with automatic rankings (lowest_pe, highest_margin, strongest_balance_sheet, best_growth, most_undervalued, highest_rated)
Synthesized from multiple sources into single agent-ready responses with pre-computed math — not raw API passthrough. Designed for AI-to-AI workflows.
Pairs with Toolstem SEC EDGAR MCP for insider, 13F, and material-event signals.
Pricing: $5.00 per 1,000 queries, metered via Apify Pay-Per-Event. Bring your own Apify token (free to create) — all billing runs through your Apify account.
Source: github.com/toolstem/toolstem-mcp-server · npm @toolstem/toolstem-mcp-server v1.2.9
Список инструментов сервера (2)
Технические названия из tools/list. Нужны только разработчикам.
| toolstem--toolstem-mcp-server | This tool calls the Actor "toolstem/toolstem-mcp-server" and retrieves its output results. Use this tool instead of the "call-actor" if user requests this specific Actor. Actor description: Agent-ready financial intelligence MCP tools. Stock snapshots, deep company metrics, stock screening, and side-by-side company comparison — all with derived signals and pre-computed math. Designed for AI agents, not raw API passthrough. |
| get-actor-output | Retrieve the output dataset items of a specific Actor run using its datasetId. You can select specific fields to return (supports dot notation like "crawl.statusCode") and paginate results with offset and limit. This tool is a simplified version of the get-dataset-items tool, focused on Actor run outputs. The results will include the dataset items from the specified dataset. If you provide fields, only those fields will be included (nested fields supported via dot notation). You can obtain the datasetId from an Actor run (e.g., after calling an Actor with the call-actor tool) or from the Apify Console (Runs → Run details → Dataset ID). USAGE: - Use when you need to read Actor output data (full items or selected fields), especially when preview does not include all fields. USAGE EXAMPLES: - user_input: Get data of my last Actor run - user_input: Get number_of_likes from my dataset - user_input: Return only crawl.statusCode and url from dataset aab123 Note: This tool is automatically included if the Apify MCP Server is configured with any Actor tools (e.g., "apify--rag-web-browser") or tools that can interact with Actors (e.g., "call-actor", "add-actor"). |