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  1. Home
  2. πŸ’° Finance & Fintech
  3. Stocksense
Stocksense logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 10:44:50 PM

Stocksense

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Financial data for AI agents: SEC filings, price history, insider trades, and more.

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": {
    "stocksense": {
      "command": "uvx",
      "args": [
        "stocksense"
      ]
    }
  }
}

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

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

StockSense

PyPI version PyPI downloads Python versions License: MIT

An MCP (Model Context Protocol) server that gives AI agents access to financial data β€” SEC EDGAR filings, market fundamentals, insider trades, and price history. No API keys needed.

Quick Start

1. Install

Terminal
pip install stocksense

2. Add to Claude Desktop

Add to your Claude Desktop config:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

config.json
{
  "mcpServers": {
    "stocksense": {
      "command": "stocksense"
    }
  }
}

3. Restart Claude Desktop

Quit and reopen Claude Desktop. You should see the hammer icon with 13 tools available.

Available Tools

ToolDescription
price_historyGet historical OHLCV price data for any ticker
quoteGet current price, market cap, P/E, 52-week range
search_filingsSearch SEC EDGAR filings (10-K, 10-Q, 8-K)
get_filingGet full text of a specific SEC filing
insider_tradesGet recent insider buys/sells from Form 4 filings
financialsGet income statement, balance sheet, cash flow, and key ratios
analyze_companyComprehensive research brief aggregating all data sources
compare_companiesCompare key metrics across multiple companies side-by-side
earningsQuarterly earnings history with EPS estimates vs actuals
company_profileCompany profile: sector, industry, and business description
dividendsDividend history and current yield
key_eventsUpcoming earnings dates, ex-dividend date, and estimates
technicalsTechnical indicators: SMA, EMA, RSI, MACD, and performance

Example queries

  • "What's AAPL's price history for the last month?"
  • "Get me a quote for MSFT"
  • "Show me TSLA's weekly prices over the past year"
  • "Show me Apple's recent 10-K filings"
  • "What insider trades happened at Tesla recently?"
  • "Show me Apple's financial statements"
  • "Give me a research brief on Tesla"
  • "Compare AAPL, MSFT, and GOOGL"
  • "Show me Apple's earnings history"
  • "What sector is NVIDIA in?"
  • "Show me AAPL's dividend history"
  • "When is Microsoft's next earnings date?"
  • "What are Tesla's technical indicators?"

Data Sources

  • yfinance β€” price data, quotes, financial statements, analyst consensus
  • SEC EDGAR β€” free, unlimited filings and insider trades (no API key needed)

Requirements

  • Python 3.11+
  • No API keys needed β€” uses free public data sources

Development

bash
# Clone and install for development
git clone https://github.com/mikejj-creation/stocksense.git
cd stocksense
pip install -e ".[dev]"

# Run tests
pytest

# Run linter
ruff check src/ tests/

Disclaimer

StockSense uses free public data from Yahoo Finance and SEC EDGAR. Users are responsible for complying with each provider's terms of service. This tool is for informational purposes only β€” not financial advice.

License

MIT

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

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    πŸ’° Finance & Fintech0 views
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  • Drillr β€” The financial MCP for AI agents logoDrillr β€” The financial MCP for AI agents

    The financial MCP for AI agents - 90+ financial tables, SEC filings, signals, alt-data.

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  • S
    Stockfacts

    US stock market data for AI agents: SEC filings, financials, insider trades, 13F, options, macro.

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  • SEC EDGAR logoSEC EDGAR

    MCP server for SEC EDGAR data β€” company filings, financial concepts, and company info

    πŸ’° Finance & Fintech0 views
    Compare vs SEC EDGAR β†’

Reviews

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

Frequently Asked Questions about Stocksense

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "stocksense": { "command": "npx", "args": ["-y", "stocksense"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
Views0
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 stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
36Quality signal: Fair Β· 36/100How 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 & tools16/30
Adoption & activity1/15
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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