Valuein MCP Server - US SEC Financial Data

Created By
valueina month ago
Institutional-grade SEC financial data for AI agents — in one line of config. Connect Claude, Cursor, ChatGPT, Codex, or any MCP-compatible client to 35 years of SEC EDGAR data (1990–today, 16,000+ US companies, 100M+ financial facts) and let your agent do the analysis. MCP Server URL: https://mcp.valuein.biz/mcp What your agent can do Look up any US public company — tickers, CIKs, sectors, S&P 500 membership Pull fundamentals — income statement, balance sheet, cash flow, annual or quarterly Read financial ratios — margins, ROIC, leverage, turnover, cash conversion Compare to peers — automated peer selection + side-by-side ratios Link straight to the source filing — 10-K, 10-Q, 8-K URLs from SEC EDGAR Audit capital allocation — buybacks, dividends, capex, M&A history Screen the market — factor screens, earnings signals, quality filters Run point-in-time backtests — survivorship-free historical universes, no look-ahead bias Verify every number — trace any fact back to the exact filing and line item Search filing text — semantic search across Risk Factors, MD&A, and footnotes Stream bulk data — signed R2 URLs for DuckDB / Pandas workflows (Pro+) 15 tools + 8 built-in analyst/quant/PM playbooks ("Margin & Moat Teardown", "Peer Benchmarking Memo", "Survivorship-Free Backtest", and more). Built for Analysts & PMs running earnings reviews, forensic tear-downs, and peer benchmarking without leaving their AI assistant Quants building PIT factor models and survivorship-free backtests Developers shipping agentic financial products without licensing a data vendor Financial content creators pulling live SEC data into research workflows One token. Every distribution channel. The same Bearer unlocks the Python SDK, Excel Power Query, REST API, and this MCP server. Subscribe once, use everywhere. For more information visit our documentation: https://valuein.biz/mcp
Overview

Institutional-grade SEC financial data for AI agents — in one line of config.

Connect Claude, Cursor, ChatGPT, Codex, or any MCP-compatible client to 35 years of SEC EDGAR data (1990–today, 16,000+ US companies, 100M+ financial facts) and let your agent do the analysis.

MCP Server URL: https://mcp.valuein.biz/mcp

What your agent can do

Look up any US public company — tickers, CIKs, sectors, S&P 500 membership
Pull fundamentals — income statement, balance sheet, cash flow, annual or quarterly
Read financial ratios — margins, ROIC, leverage, turnover, cash conversion
Compare to peers — automated peer selection + side-by-side ratios
Link straight to the source filing — 10-K, 10-Q, 8-K URLs from SEC EDGAR
Audit capital allocation — buybacks, dividends, capex, M&A history
Screen the market — factor screens, earnings signals, quality filters
Run point-in-time backtests — survivorship-free historical universes, no look-ahead bias
Verify every number — trace any fact back to the exact filing and line item
Search filing text — semantic search across Risk Factors, MD&A, and footnotes
Stream bulk data — signed R2 URLs for DuckDB / Pandas workflows (Pro+)

15 tools + 8 built-in analyst/quant/PM playbooks ("Margin & Moat Teardown", "Peer Benchmarking Memo", "Survivorship-Free Backtest", and more).

Built for

Analysts & PMs running earnings reviews, forensic tear-downs, and peer benchmarking without leaving their AI assistant
Quants building PIT factor models and survivorship-free backtests
Developers shipping agentic financial products without licensing a data vendor
Financial content creators pulling live SEC data into research workflows

One token. Every distribution channel. The same Bearer unlocks the Python SDK, Excel Power Query, REST API, and this MCP server. Subscribe once, use everywhere.

For more information visit our documentation: https://valuein.biz/mcp

Server Config

{
  "mcpServers": {
    "valuein-sec-edgar": {
      "type": "http",
      "url": "https://mcp.valuein.biz/mcp"
    }
  }
}
Project Info
Created At
a month ago
Updated At
a month ago
Author Name
valuein
Star
-
Language
-
License
-
Category
Tags

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago
Crevio

2 days ago