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  1. Home
  2. πŸ’° Finance & Fintech
  3. Toolstem MCP Server
Toolstem MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:46:18 PM

Toolstem MCP Server

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
financestocksequity-researchdcf

MCP server for stock snapshots, company metrics, DCF analysis, and side-by-side company comparisons.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "toolstem-toolstem-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "toolstem-mcp-server"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

Toolstem combines multiple Financial Modeling Prep data sources and returns flat JSON for equity research and investment workflows. Its tools calculate signals, CAGRs, margin trends, and DCF upside so agents do not need to stitch endpoints or perform the math themselves. Use the hosted endpoint for pay-per-call access or self-host the Node server with an FMP key.

Use cases

β€’Analyze a stock’s current price, fundamentals, and valuation
β€’Compare companies on growth and valuation
β€’Review company metrics by annual or quarterly period
β€’Evaluate DCF upside and derived investment signals

Key features

β€’Stock snapshot retrieval
β€’Company fundamentals and metrics
β€’Side-by-side company comparisons
β€’DCF valuation and upside calculations
β€’CAGR and margin-trend calculations
β€’Derived signals such as UNDERVALUED and ACCELERATING

Capabilities & Tool Schemas (3) ~113 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Toolstem MCP Server.

get_stock_snapshot

Comprehensive stock overview combining quote, profile, DCF valuation, and rating into a single response.

get_company_metrics

Deep fundamentals analysis β€” profitability, financial health, cash flow, growth, and per-share metrics β€” synthesized from 5 financial statements endpoints.

compare_companies

Side-by-side comparison of 2–5 companies across price, valuation, profitability, financial health, growth, dividends, and analyst ratings.

Documentation Overview

πŸ“Š Toolstem β€” Financial Data MCP for AI Agents | Stock Analysis & DCF

npm version npm downloads MCP Registry License: MIT

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 β€” the agent's wallet pays directly in USDC on Base mainnet.

Code
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:

config.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 library connects directly to the hosted URL:

server.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 wrapper handles x402 payment for you β€” pass a funded wallet key and the tools auto-pay per call:

server.ts
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 at the bottom.

Try the tools live in the Toolstem playground.

Product page: https://toolstem.com/finance/.


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. No API key, no signup, no marketplace account required β€” the agent's wallet pays directly.
ToolPer 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.

Code
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.

ToolTitleRequired inputOptional input
get_stock_snapshotStock Snapshotsymbol (string)β€”
get_company_metricsCompany Metricssymbol (string)period (annual | quarter, default annual)
compare_companiesCompany Comparisonsymbols (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:

config.json
{
  "symbol": "AAPL"
}

Example output (truncated):

config.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:

config.json
{
  "symbol": "AAPL",
  "period": "annual"
}

period accepts annual (default) or quarter.

Example output (truncated):

config.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:

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Toolstem MCP Server

It provides get_stock_snapshot, get_company_metrics, and compare_companies.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingPaid
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthOther
LicenseMIT
ClientsClaude Desktop
Last updatedAug 11, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 22, 2026
56Quality signal: Good Β· 56/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools29/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

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Scanned 26d ago via OSV.dev Β· toolstem-mcp-server (npm)

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