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  1. Home
  2. πŸ’° Finance & Fintech
  3. Financekit MCP
Financekit MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 4:46:11 AM

Financekit MCP

User RatingsBe the first to rate and review this MCP server!
View Repository6 GitHub StarsTotal stargazers on GitHub for the source repository (6 stars).Visit Website
financestockscryptotechnical-analysisportfolio

MCP server for stock and crypto data, technical analysis, market comparisons, and portfolio insights without API keys.

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
We couldn’t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window β€” this can mean a slow first-time install rather than a real problem.

uvx --from

No response to initialize.

This is an experimental automated check and can have false negatives β€” missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

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": {
    "vdalhambra-financekit-mcp": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

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

Install Tool Schemas (12) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

FinanceKit provides market data and analysis tools for stocks and cryptocurrencies through MCP. Use it to retrieve quotes, inspect company information, calculate technical indicators, compare assets, review market conditions, or analyze portfolio allocation and concentration risk. Stock and crypto access does not require API keys.

Use cases

β€’Retrieve current quotes for individual or multiple stock tickers
β€’Analyze stocks or cryptocurrencies with technical indicators and pattern detection
β€’Compare asset returns, volatility, Sharpe ratio, and drawdown
β€’Review crypto prices, trends, searches, and market-cap rankings
β€’Analyze portfolio value, allocation, sector exposure, and concentration risk

Key features

β€’Stock quotes, company information, and batches of up to 10 tickers
β€’Crypto prices, trending coins, search, and market-cap rankings via CoinGecko
β€’Technical indicators including RSI, MACD, Bollinger Bands, SMA/EMA, ADX, Stochastic, ATR, and OBV
β€’Historical OHLCV data with summary statistics
β€’Market overview covering major indices, VIX, and market sentiment
β€’Portfolio and asset comparison metrics including allocation, volatility, Sharpe ratio, and drawdown

Capabilities & Tool Schemas (12) ~214 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 Financekit MCP.

stock_quote

Current price, change, volume, P/E, market cap

company_info

Sector, financials, valuation metrics, description

multi_quote

Batch quotes for up to 10 tickers at once

crypto_price

Price, market cap, 1h/24h/7d changes, ATH data

crypto_trending

Top 10 trending coins on CoinGecko

crypto_search

Find coins by name or symbol

Documentation Overview

PyPI version License: MIT Python 3.11+ Glama MCP Server

FinanceKit MCP

Financial Market Intelligence for AI Agents β€” real-time stock quotes, technical analysis, crypto data, and portfolio insights via the Model Context Protocol (MCP).

FinanceKit is an MCP server that gives Claude Code, Cursor, Windsurf, and any AI agent instant access to financial market data. No API keys required for stocks and crypto.

Try it now β€” no install needed: Open FinanceKit in the MCPize Playground β€” runs in your browser, free tier (100 calls/month)

Use Cases

Here are concrete examples of what you can ask your AI agent once FinanceKit is installed:

  • "Run full technical analysis on TSLA and tell me if it's a buy" β€” Get RSI, MACD, Bollinger Bands, ADX, Stochastic, and pattern detection with a plain-English signal summary
  • "Compare AAPL vs MSFT vs GOOGL performance over the last 6 months" β€” Side-by-side returns, volatility, Sharpe ratio, and max drawdown
  • "Analyze my portfolio: AAPL:50, NVDA:20, MSFT:30, AMZN:10" β€” Total value, sector allocation, concentration risk, and diversification score
  • "What are the trending cryptocurrencies right now? Any worth watching?" β€” Top trending coins from CoinGecko with price data and momentum
  • "Give me a market overview β€” how are the major indices doing?" β€” S&P 500, NASDAQ, Dow, VIX, and market sentiment in one call
  • "Is Bitcoin overbought? Show me RSI and Bollinger Band analysis" β€” Full technical analysis works on crypto too, not just stocks

Why FinanceKit?

FeatureFinanceKit MCPYahoo Finance APIAlpha VantageTradingView
Works with Claude Code / CursorYesNoNoNo
No API key neededYesYesNo (free tier)No
Technical analysis built-in10+ indicatorsRaw data onlyLimitedManual
Crypto + stocks in one toolYesStocks onlySeparate APIsManual
Portfolio analysisYesNoNoNo
MCP native (stdio + HTTP)YesREST onlyREST onlyWeb only
FreeYesYesRate limitedPaid

Tools (12)

Stocks

ToolDescription
stock_quoteCurrent price, change, volume, P/E, market cap
company_infoSector, financials, valuation metrics, description
multi_quoteBatch quotes for up to 10 tickers at once

Crypto

ToolDescription
crypto_pricePrice, market cap, 1h/24h/7d changes, ATH data
crypto_trendingTop 10 trending coins on CoinGecko
crypto_searchFind coins by name or symbol
crypto_top_coinsTop N coins ranked by market cap

Technical Analysis

ToolDescription
technical_analysisFull analysis: RSI, MACD, Bollinger Bands, SMA/EMA, ADX, Stochastic, ATR, OBV + pattern detection (Golden Cross, Death Cross, overbought/oversold) with plain-English signal summary
price_historyHistorical OHLCV data with summary statistics

Market Overview

ToolDescription
market_overviewMajor indices (S&P 500, NASDAQ, Dow), VIX, market sentiment

Portfolio & Comparison

ToolDescription
compare_assetsSide-by-side returns, volatility, Sharpe ratio, drawdown
portfolio_analysisTotal value, allocation weights, sector breakdown, concentration risk

Installation

⭐ Recommended: MCPize (hosted, no setup)

The fastest way to get started. No terminal, no config files, no Python setup β€” works in any MCP client:

πŸ‘‰ Install FinanceKit on MCPize β€” Free tier available (100 calls/month)

Or add to your MCP config directly:

config.json
{
  "mcpServers": {
    "financekit": {
      "url": "https://financekit-mcp.mcpize.run/mcp"
    }
  }
}

Why MCPize?

  • βœ… Zero setup β€” works immediately in Claude Desktop, Cursor, Windsurf, Claude Code
  • βœ… Always up-to-date β€” new features deployed automatically
  • βœ… Scales with you β€” upgrade to Pro ($29/mo) for 10,000 calls + priority + all premium tools
  • βœ… Reliable uptime β€” managed cloud infrastructure
  • βœ… Analytics β€” track how your agents use the tools

See pricing below for all tiers including Team, Business, and Enterprise.


πŸ’» Advanced: Self-hosted (developers)

For those who prefer to run the server locally:

Claude Code CLI
Terminal
claude mcp add financekit -- uvx --from financekit-mcp financekit
Claude Desktop / Cursor / Windsurf (local)
config.json
{
  "mcpServers": {
    "financekit": {
      "command": "uvx",
      "args": ["--from", "financekit-mcp", "financekit"]
    }
  }
}
From PyPI
Terminal
pip install financekit-mcp
financekit
From source
bash
git clone https://github.com/vdalhambra/financekit-mcp.git
cd financekit-mcp
uv sync
uv run financekit
Smithery
Terminal
npx -y @smithery/cli install @vdalhambra/financekit --client claude

Note: Self-hosted = full feature access but you manage updates, uptime, and infrastructure. For most users, MCPize is the better choice.


Pricing

TierPriceCalls/monthIncludes
Free$01005 basic tools (quotes, company info, crypto price)
Hobby$9/mo2,500Most tools β€” no portfolio or market overview
Pro ⭐$29/mo10,000All 12 tools + priority + premium features
Team$79/mo50,000Pro + 5 seats + CSV export + email support
Business$179/mo200,000Team + webhooks + alerts + SLA
Enterprise$499/moUnlimitedBusiness + white-label + on-prem + dedicated support

Annual plans: Get 2 months free (pay for 10, use 12).

Bundle: Combine with SiteAudit MCP for $39/mo (Pro Combo β€” save 19%).

πŸ‘‰ View all pricing on MCPize

Data Sources

  • Stocks: Yahoo Finance (via yfinance) β€” free, no API key
  • Crypto: CoinGecko API (free tier, 10K calls/month)
  • Technical Indicators: Calculated locally using the ta library (RSI, MACD, Bollinger Bands, ADX, Stochastic, ATR, OBV)

All data is cached to minimize API calls: quotes (60s), historical data (1h), crypto (2min), company info (24h).

Examples

Technical Analysis Output

Code
Symbol: AAPL
Current Price: 260.48
Indicators:
  RSI(14): 55.65 β€” neutral
  MACD: histogram positive β€” bullish momentum
  Bollinger Bands: price within bands β€” normal
  SMA(50): 260.84
  ADX: 18.3 β€” weak/no trend
Patterns:
  Golden Cross: false
  Overbought: false

Portfolio Analysis Output

Code
Total Value: $45,230.50
Positions: 3
Concentration Risk: MODERATE
Sector Breakdown:
  Technology: 85.2%
  Communication Services: 14.8%

Compatible AI Agents

FinanceKit works with any AI agent or IDE that supports the Model Context Protocol:

  • Claude Code (CLI) β€” claude mcp add
  • Claude Desktop β€” claude_desktop_config.json
  • Cursor β€” .cursor/mcp.json
  • Windsurf β€” MCP settings
  • Copilot β€” MCP configuration
  • Any MCP client β€” stdio or HTTP transport

Support this project

If FinanceKit is useful to you, please consider supporting ongoing development:

  • πŸ’Ž Upgrade to Pro on MCPize β€” Best way to support + get premium features
  • ⭐ Star this repo β€” Helps other developers find it
  • πŸ’– Sponsor on GitHub β€” One-time or recurring support
  • 🐦 Share on Twitter/X β€” Tag @ElAgenteRayo

License

MIT

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
6
Stargazers on the source repository.
Last commit
4mo ago
Most recent push to the default branch.
Install check
Inconclusive
Didn't respond in our test window β€” often a slow first install.
Tools exposed
12
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Financekit MCP

No API keys are required for the stock and crypto data described by the project.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedAug 9, 2026
9/10 checks healthy over the last 32d
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 stars6
GitHub Star CountTotal stargazers on GitHub representing community popularity (6 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Apr 17, 2026
55Quality signal: Good Β· 55/100How 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 & activity2/15
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.

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Scanned 26d ago via OSV.dev Β· --from (PyPI)

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