akyla-financial-data

Give your AI cited financial data.

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

  • Get Quote: Latest price snapshot and 52-week range for a US-listed stock.
  • Get Fundamentals: Headline fundamentals for a US stock in one call: revenue, EBITDA, margins, EV/EBITDA, net debt and free cash flow, plus a live quote. Best first stop for "how is <company> doing / w
  • Get Key Metrics: Full key-metrics table for a US stock across reporting periods (valuation, profitability, leverage, growth). Use when the user wants the detailed metric history rather than the single

What data it sees

Do you need an account

An API key from the service settings is required

Give your AI cited financial data. This is a Model Context Protocol server for the Akyla Financial Data API: as-reported US-equity fundamentals sourced straight from SEC inline-XBRL filings, plus live quotes, full financial statements, valuation comps, and a screener over ~5k US stocks.

How to connect

How to connect akyla-financial-data to Claude

The server address to paste into Claude settings:

https://akyla-financial-data--brandon-7cji.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect akyla-financial-data to ChatGPT

The server address to paste into ChatGPT settings:

https://akyla-financial-data--brandon-7cji.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect akyla-financial-data to Cursor

The server address to paste into Cursor settings:

https://akyla-financial-data--brandon-7cji.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

get_quoteLatest price snapshot and 52-week range for a US-listed stock.
get_fundamentalsHeadline fundamentals for a US stock in one call: revenue, EBITDA, margins, EV/EBITDA, net debt and free cash flow, plus a live quote. Best first stop for "how is <company> doing / what are its fundamentals / is it cheap" questions.
get_key_metricsFull key-metrics table for a US stock across reporting periods (valuation, profitability, leverage, growth). Use when the user wants the detailed metric history rather than the single-call snapshot from get_fundamentals.
get_statementAs-reported financial statement for a US stock, assembled straight from SEC inline-XBRL. With provenance on (default), every value carries its source — the SEC accession number and inline-XBRL fact id — so you can CITE each number to the primary filing. Use this when the user needs auditable figures.
get_notesFootnote disclosures (notes) from a US company's dimensional XBRL filings.
get_compsComparable companies for a US stock: the subject company plus peers with valuation multiples, for relative-valuation questions ("how does <company> compare to peers").
screen_equitiesScreen ~5-8k US equities by valuation, size, growth and quality. Numeric filters use the form `<field>_<op>` where op is one of gt, gte, lt, lte. Values are in each field's native unit: - Money fields (marketCap, enterpriseValue, revenue, ebitda, netDebt, netIncome) are RAW USD — $10B is 10000000000, not 10000. - Ratios (pe, ps, evEbitda, evRevenue) are plain numbers. - Margins & growth (ebitdaMargin, fcfMargin, revenueGrowth, netIncomeGrowth) are decimals — 0.25 means 25%. Example — large, cheap companies: filters={"marketCap_gte": 10000000000, "pe_lte": 15} Common fields: marketCap, enterpriseValue, pe, ps, evEbitda, evRevenue, revenue, ebitda, ebitdaMargin, fcfMargin, revenueGrowth, netIncome, netDebt, price, volume.