MCPs › Dev tools › Toolstem Financial Intelligence
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
Not monetized yet
Turn Toolstem Financial Intelligence’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install Toolstem Financial Intelligence
For anyone using Toolstem Financial Intelligence — no Lulu account neededclaude mcp add --transport http toolstem-financial-intelligence https://toolstem-mcp-server--toolstem.run.tools
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
Run: claude mcp add --transport http toolstem-financial-intelligence https://toolstem-mcp-server--toolstem.run.tools
Yes — it’s a remote MCP server, so no local install is needed.
ChatGPT: Settings → Connectors → Advanced → Developer mode → Add connector, then paste https://toolstem-mcp-server--toolstem.run.tools.
Claude.ai: Settings → Connectors → Add custom connector, then paste the same URL.
Submitted directly to Lulu MCPs.
3 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
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