Toolstem Financial Intelligence
Agent-ready financial intelligence MCP server.
What it can do
- 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
What data it sees
Do you need an account
An API key from the service settings is required
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
How to connect
How to connect Toolstem Financial Intelligence to Claude
The server address to paste into Claude settings:
https://toolstem-mcp-server--toolstem.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Toolstem Financial Intelligence to ChatGPT
The server address to paste into ChatGPT settings:
https://toolstem-mcp-server--toolstem.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Toolstem Financial Intelligence to Cursor
The server address to paste into Cursor settings:
https://toolstem-mcp-server--toolstem.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (2)
Raw names from tools/list. Only developers need these.
| 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"). |