# toolstem/toolstem-mcp-server [Health: Active] **Category:** πŸ’° Finance & Fintech **Repository:** https://github.com/toolstem/toolstem-mcp-server **GitHub Stars:** 1 **Views:** 1 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/toolstem-toolstem-mcp-server ## Description Agent-ready financial intelligence for AI agents. Curated tools (getstocksnapshot, getcompanymetrics, comparecompanies) that fan out to multiple financial data sources, derive human-readable signals (UNDERVALUED, STRONG, ACCELERATING), and pre-compute CAGRs, margin trends, and DCF upside. One call, one flat JSON response β€” no cross-endpoint stitching. Available on npm (toolstem-mcp-server), the Official MCP Registry, and the Apify Store. ## Tools Capabilities this server exposes over MCP: - **get_stock_snapshot** β€” Comprehensive stock overview combining quote, profile, DCF valuation, and rating into a single response. - **get_company_metrics** β€” Deep fundamentals analysis β€” profitability, financial health, cash flow, growth, and per-share metrics β€” synthesized from 5 financial statements endpoints. - **compare_companies** β€” Side-by-side comparison of 2–5 companies across price, valuation, profitability, financial health, growth, dividends, and analyst ratings. ## Claude Desktop Quick Installation Install path detected from listing signals. Uses `npx` (confidence: high): ```json "mcpServers": { "toolstem-mcp-server": { "command": "npx", "args": ["-y","toolstem-mcp-server"] } } ``` ## Documentation & README # πŸ“Š Toolstem β€” Financial Data MCP for AI Agents | Stock Analysis & DCF [![npm version](https://img.shields.io/npm/v/toolstem-mcp-server)](https://www.npmjs.com/package/toolstem-mcp-server) [![npm downloads](https://img.shields.io/npm/dw/toolstem-mcp-server)](https://www.npmjs.com/package/toolstem-mcp-server) [![MCP Registry](https://img.shields.io/badge/MCP_Registry-active-teal)](https://registry.modelcontextprotocol.io) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](./LICENSE) **Curated financial data MCP for AI agents β€” equity research in one call.** Toolstem is the **financial data MCP** built for AI stock analysis, equity research, and agent-driven investment workflows. Real-time stock data, company fundamentals, DCF valuations, financial metrics, and the ability to compare companies side-by-side β€” all returned as flat, agent-friendly JSON with derived signals already computed. Works natively with **Claude**, **OpenAI Agents SDK**, and **LangChain**. Pay-per-call pricing, no subscription. More finance MCP servers (SEC filings, insider transactions, institutional holdings) are on the way. Unlike passthrough wrappers that just expose a vendor's REST API, every Toolstem tool **combines multiple data sources**, **derives signals**, and **pre-computes the math** an agent would otherwise have to do itself. One call. One agent-friendly JSON response. No nested arrays to parse, no cross-endpoint stitching, no null-checking boilerplate. --- ## Quickstart β€” hosted endpoint (recommended) Point your MCP client or agent at the hosted endpoint. **No API key, no infra, no setup.** Billing is per-call via [x402](https://www.x402.org) β€” the agent's wallet pays directly in USDC on Base mainnet. ``` https://mcp.toolstem.com/mcp/finance ``` - **No FMP API key required** β€” you do not bring or manage any upstream data key. - **No infrastructure** β€” nothing to install, host, or keep running. - **No setup** β€” connect an MCP client and call a tool. - `initialize` and `tools/list` are **free** (discovery and schema introspection). - Each `tools/call` costs **$0.01 USDC** on Base mainnet, settled via x402. ### Claude Desktop Drop this into your `claude_desktop_config.json`: ```json { "mcpServers": { "toolstem-finance": { "url": "https://mcp.toolstem.com/mcp/finance" } } } ``` Restart Claude Desktop, then ask: *"Use Toolstem to get a snapshot of NVDA."* ### Any MCP client (LangChain.js) The official [`@langchain/mcp-adapters`](https://www.npmjs.com/package/@langchain/mcp-adapters) library connects directly to the hosted URL: ```ts import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { ChatOpenAI } from "@langchain/openai"; import { createReactAgent } from "@langchain/langgraph/prebuilt"; const client = new MultiServerMCPClient({ toolstem_finance: { transport: "http", url: "https://mcp.toolstem.com/mcp/finance", // Add your x402-signing middleware via headers, OR run an x402 // proxy locally and point url at it. See https://www.x402.org/clients. }, }); const tools = await client.getTools(); const agent = createReactAgent({ llm: new ChatOpenAI({ model: "gpt-4o-mini" }), tools }); await agent.invoke({ messages: "Compare AAPL, MSFT, and GOOGL on valuation and growth." }); ``` ### LangChain quick-start (`langchain-toolstem`) The [`langchain-toolstem`](https://www.npmjs.com/package/langchain-toolstem) wrapper handles x402 payment for you β€” pass a funded wallet key and the tools auto-pay per call: ```typescript import { createToolstemTools } from 'langchain-toolstem'; const tools = await createToolstemTools({ walletPrivateKey: process.env.WALLET_KEY }); // Tools auto-pay $0.01 USDC per call via x402 ``` Prefer to run the server yourself with your own FMP key? See [Advanced: self-host](#advanced-self-host) at the bottom. Try the tools live in the [Toolstem playground](https://www.toolstem.com/playground/). Product page: . --- ## Pricing - **MCP `initialize` and `tools/list` are free** β€” discovery, schema introspection, and health checks never cost anything. - **`tools/call` costs $0.01 USDC on Base mainnet per invocation, paid via [x402](https://www.x402.org).** No API key, no signup, no marketplace account required β€” the agent's wallet pays directly. | Tool | Per call | |------|----------| | `get_stock_snapshot` | $0.01 USDC | | `get_company_metrics` | $0.01 USDC | | `compare_companies` | $0.01 USDC | ### How billing works Toolstem uses the x402 payment protocol. Agents pay per call in USDC on Base β€” no API keys, no subscriptions, no invoices. The agent's wallet settles each call automatically via EIP-3009. --- ## How it works Toolstem ships as a Node MCP server (this repo) **and** as a hosted, x402-gated proxy. ``` Agent ──MCP──▢ Cloudflare Worker (x402 paywall) ──MCP──▢ Toolstem MCP server ──REST──▢ Financial Modeling Prep β”‚ β”‚ └─ free: initialize, tools/list └─ composite tool: fans out to 3–5 FMP endpoints └─ paid: tools/call β†’ 0.01 USDC on Base in parallel, derives signals, returns flat JSON ``` - **Cloudflare Worker** terminates the public MCP connection at `mcp.toolstem.com` and enforces the x402 payment for `tools/call`. - **MCP server** (this package) implements the 3 composite tools and talks to Financial Modeling Prep. - **x402 on Base mainnet** handles the micropayment β€” settlement is sub-second, no off-chain accounts. --- ## Tools Three composite tools, each one synthesizing multiple FMP endpoints with derived signals and pre-computed math. | Tool | Title | Required input | Optional input | |---|---|---|---| | [`get_stock_snapshot`](#get_stock_snapshot) | Stock Snapshot | `symbol` (string) | β€” | | [`get_company_metrics`](#get_company_metrics) | Company Metrics | `symbol` (string) | `period` (`annual` \| `quarter`, default `annual`) | | [`compare_companies`](#compare_companies) | Company Comparison | `symbols` (string[2..5]) | β€” | All three are read-only, idempotent, and safe for agent retry. ### `get_stock_snapshot` Comprehensive stock overview combining quote, profile, DCF valuation, and rating into a single response. **Input:** ```json { "symbol": "AAPL" } ``` **Example output (truncated):** ```json { "symbol": "AAPL", "company_name": "Apple Inc.", "sector": "Technology", "industry": "Consumer Electronics", "exchange": "NASDAQ", "price": { "current": 178.52, "change": 2.34, "change_percent": 1.33, "day_high": 179.80, "day_low": 175.10, "year_high": 199.62, "year_low": 130.20, "distance_from_52w_high_percent": -10.57, "distance_from_52w_low_percent": 37.11 }, "valuation": { "market_cap": 2780000000000, "market_cap_readable": "$2.78T", "pe_ratio": 29.5, "dcf_value": 195.20, "dcf_upside_percent": 9.35, "dcf_signal": "FAIRLY VALUED" }, "rating": { "score": 4, "recommendation": "Buy", "dcf_score": 5, "roe_score": 4, "roa_score": 4, "de_score": 5, "pe_score": 3 }, "fundamentals_summary": { "beta": 1.28, "avg_volume": 55000000, "employees": 164000, "ipo_date": "1980-12-12", "description": "Apple Inc. designs, manufactures..." }, "meta": { "source": "Toolstem via Financial Modeling Prep", "timestamp": "2026-04-17T18:30:00Z", "data_delay": "End of day" } } ``` **Derived fields (not in raw APIs):** - `dcf_signal` β€” `UNDERVALUED` if DCF upside > 10%, `OVERVALUED` if < -10%, else `FAIRLY VALUED`. - `market_cap_readable` β€” human-friendly `$2.78T`, `$450.2B`, `$12.5M` format. - `distance_from_52w_high_percent` / `distance_from_52w_low_percent` β€” pre-computed range position. --- ### `get_company_metrics` Deep fundamentals analysis β€” profitability, financial health, cash flow, growth, and per-share metrics β€” synthesized from 5 financial statements endpoints. **Input:** ```json { "symbol": "AAPL", "period": "annual" } ``` `period` accepts `annual` (default) or `quarter`. **Example output (truncated):** ```json { "symbol": "AAPL", "period": "annual", "latest_period_date": "2025-09-30", "profitability": { "revenue": 394328000000, "revenue_readable": "$394.3B", "revenue_growth_yoy": 7.8, "net_income": 96995000000, "net_income_readable": "$97.0B", "gross_margin": 46.2, "operating_margin": 31.5, "net_margin": 24.6, "roe": 160.5, "roa": 28.3, "roic": 56.2, "margin_trend": "EXPANDING" }, "financial_health": { "total_debt": 111000000000, "total_cash": 65000000000, "net_debt": 46000000000, "debt_to_equity": 1.87, "current_ratio": 1.07, "interest_coverage": 41.2, "health_signal": "STRONG" }, "cash_flow": { "operating_cash_flow": 118000000000, "free_cash_flow": 104000000000, "free_cash_flow_readable": "$104.0B", "fcf_margin": 26.4, "capex": 14000000000, "dividends_paid": 15000000000, "buybacks": 89000000000, "fcf_yield": 3.7 }, "growth_3yr": { "revenue_cagr": 8.2, "net_income_cagr": 10.1, "fcf_cagr": 9.5, "growth_signal": "ACCELERATING" }, "per_share": { "eps": 6.42, "book_value_per_share": 3.99, "fcf_per_share": 6.89, "dividend_per_share": 0.96, "payout_ratio": 14.9 }, "meta": { "source": "Toolstem via Financial Modeling Prep", "timestamp": "2026-04-17T18:30:00Z", "periods_analyzed": 3, "data_delay": "End of day" } } ``` **Derived fields:** - `margin_trend` β€” `EXPANDING`, `STABLE`, or `CONTRACTING` based on net margin series direction. - `health_signal` β€” `STRONG`, `ADEQUATE`, or `WEAK` from debt-to-equity, current ratio, and interest coverage. - `growth_signal` β€” `ACCELERATING`, `STEADY`, or `DECELERATING` based on YoY growth trajectory. - `revenue_cagr`, `net_income_cagr`, `fcf_cagr` β€” compound annual growth rates over the analyzed window. - `fcf_margin`, `fcf_yield` β€” pre-computed from cash flow + revenue + market cap. --- ### `compare_companies` Side-by-side comparison of 2–5 companies across price, valuation, profitability, financial health, growth, dividends, and analyst ratings. **Input:** ```json { "symbols": ["AAPL", "MSFT", "GOOGL"] } ``` `symbols` must be an array of 2 to 5 ticker strings. **Example output (truncated):** ```json { "symbols_compared": ["AAPL", "MSFT", "GOOGL"], "comparison_date": "2026-04-20T18:30:00Z", "companies": [ { "symbol": "AAPL", "company_name": "Apple Inc.", "sector": "Technology", "price": { "current": 178.52, "change_percent": 1.33 }, "valuation": { "pe_ratio": 29.5, "dcf_upside_percent": 9.35 }, "profitability": { "net_margin": 24.6, "roe": 160.5, "roic": 56.2 }, "financial_health": { "debt_to_equity": 1.87, "current_ratio": 1.07 }, "growth": { "revenue_growth_yoy": 7.8, "earnings_growth_yoy": 10.1 }, "dividend": { "dividend_yield": 0.5, "payout_ratio": 14.9 }, "rating": { "score": 4, "recommendation": "Buy" } } ], "rankings": { "lowest_pe": "GOOGL", "highest_margin": "AAPL", "strongest_balance_sheet": "GOOGL", "best_growth": "MSFT", "most_undervalued": "GOOGL", "highest_rated": "MSFT" }, "meta": { "source": "Toolstem via Financial Modeling Prep", "timestamp": "2026-04-20T18:30:00Z", "data_delay": "Real-time during market hours", "api_calls_made": 19 } } ``` **Derived fields:** - `rankings` β€” automatically computed: `lowest_pe`, `highest_margin`, `strongest_balance_sheet`, `best_growth`, `most_undervalued`, `highest_rated`. - All valuation, profitability, health, and growth metrics pre-computed per company. - Uses batch quote for efficient multi-symbol price retrieval. --- ## Why Toolstem? Most financial MCP servers expose one tool per API endpoint β€” forcing your agent to make 4–5 sequential calls, write glue code, and reason about raw data shapes. Toolstem is built differently: - **Parallel data fetching** β€” every tool fans out to multiple sources concurrently. - **Derived signals** β€” human-readable recommendations like `UNDERVALUED`, `STRONG`, `ACCELERATING` computed from raw numbers. - **Pre-computed math** β€” CAGRs, YoY growth, margin trends, distance from 52-week high/low, FCF yield, and more are already in the response. - **Flat, predictable schema** β€” no deeply nested vendor quirks leaking into agent prompts. - **Graceful degradation** β€” if one upstream endpoint fails, the rest of the response still comes through with nulls in place. --- ## Advanced: self-host > **Most users should use the [hosted endpoint](#quickstart--hosted-endpoint-recommended) above** β€” it needs no API key, no infrastructure, and no setup. This section is for users who specifically want to run the server themselves. Run the Node MCP server locally with your own FMP key β€” no x402, no per-call charge beyond your FMP quota. You are responsible for obtaining and managing your own `FMP_API_KEY` and for any infrastructure you run. ### npm ```bash npm install -g toolstem-mcp-server ``` **stdio** (default β€” for Claude Desktop, Cursor, etc.): ```bash FMP_API_KEY=your_key_here toolstem-mcp-server ``` **HTTP β€” local only** (default, binds 127.0.0.1): ```bash FMP_API_KEY=your_key_here toolstem-mcp-server --http ``` **HTTP β€” remote + auth** (binds 0.0.0.0, requires bearer token): ```bash FMP_API_KEY=your_key ALLOW_REMOTE=1 MCP_AUTH_TOKEN=my-secret toolstem-mcp-server --http ``` Clients must send `Authorization: Bearer my-secret` on every `/mcp` request. **HTTP β€” auth disabled (local only)**: ```bash FMP_API_KEY=your_key MCP_AUTH_DISABLED=1 toolstem-mcp-server --http ``` > `MCP_AUTH_DISABLED=1` forces the server to bind `127.0.0.1` regardless of `ALLOW_REMOTE`. This is a safe "skip auth, local only" mode for development. **HTTP β€” remote without auth (dangerous)**: ```bash FMP_API_KEY=your_key ALLOW_REMOTE=1 MCP_AUTH_DISABLED=1 I_KNOW_THIS_IS_DANGEROUS=1 toolstem-mcp-server --http ``` > **Warning:** This exposes your FMP API key to anyone who can reach the port. Requires all three env vars. A `[SECURITY WARNING]` banner prints at startup and repeats every 60 seconds. Only use for trusted networks or development. ### Claude Desktop (self-hosted) ```json { "mcpServers": { "toolstem": { "command": "npx", "args": ["-y", "toolstem-mcp-server"], "env": { "FMP_API_KEY": "your_fmp_api_key" } } } } ``` ### From source ```bash npm install npm run build FMP_API_KEY=your_key npm run start:http ``` --- ## Environment Variables | Variable | Required | Description | |----------|----------|-------------| | `FMP_API_KEY` | Yes (self-hosted) | Financial Modeling Prep API key. Get one at [financialmodelingprep.com](https://financialmodelingprep.com). Not needed when calling the hosted endpoint. | | `PORT` | No | Port for HTTP transport. Defaults to `3000`. | | `ALLOW_REMOTE` | No | Set to `1` to bind HTTP on `0.0.0.0` instead of `127.0.0.1`. | | `MCP_AUTH_TOKEN` | When `ALLOW_REMOTE=1` | Bearer token for authenticating `/mcp` requests. | | `MCP_AUTH_DISABLED` | No | Set to `1` to skip auth. Forces `127.0.0.1` bind unless `I_KNOW_THIS_IS_DANGEROUS=1` is also set. | | `I_KNOW_THIS_IS_DANGEROUS` | No | Set to `1` alongside `ALLOW_REMOTE=1` and `MCP_AUTH_DISABLED=1` to allow remote access without auth. Triggers a periodic warning banner. | --- ## Development ```bash npm install npm run dev # stdio, hot reload via tsx npm run build # TypeScript -> dist/ npm start # run built stdio server npm run start:http # run built HTTP server ``` --- ## Architecture ``` src/ β”œβ”€β”€ index.ts # MCP server entry (stdio + Streamable HTTP) β”œβ”€β”€ actor.ts # Apify Actor entry (legacy) β”œβ”€β”€ services/ β”‚ └── fmp.ts # Financial Modeling Prep API client β”œβ”€β”€ tools/ β”‚ β”œβ”€β”€ get-stock-snapshot.ts β”‚ β”œβ”€β”€ get-company-metrics.ts β”‚ └── compare-companies.ts └── utils/ └── formatting.ts # Market cap formatting, CAGR, trend signals ``` All FMP endpoints are wrapped in a single `FmpClient` class. Tool implementations fan out to multiple client methods in parallel via `Promise.all`, then synthesize the merged result. --- ## License MIT β€” see [LICENSE](https://github.com/toolstem/toolstem-mcp-server/blob/HEAD/LICENSE). --- **Toolstem** β€” curated financial intelligence for the agent-native economy.