mcpField
K
KeyVex

KeyVex

Remote
keyvex.comFinance

About KeyVex

US public financial disclosures for AI agents: Congress trades, SEC filings, FEC, lobbying, more

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.keyvex.com
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.keyvex.com
Streamable HTTPhttps://mcp.keyvex.com/proAuth required

Tools

64
ParameterTypeRequiredDescription
limitintegerNoMaximum records to return. Default 50, max 500.
sincestringNoISO date (YYYY-MM-DD). Only filings with filing_date >= this date.
untilstringNoISO date (YYYY-MM-DD). Only filings with filing_date <= this date.
tickerstringNoExact issuer ticker (e.g., 'AAPL', 'BRK.B').
sort_byenumNoSort field. Only filing_date is supported. Default: filing_date.filing_date
sort_orderenumNoDefault: desc (most recent filings first).desc | asc
company_cikstringNoIssuer CIK (10-digit, leading-zero padded). All of that company's insider filings.
company_namestringNoCase-insensitive substring against issuer company name (e.g., 'Apple', 'Tesla').
is_amendmentbooleanNoTrue returns only amendments (/A forms); false returns only originals. Omit for both.
document_typestringNoExact SEC form code: '3' (initial), '4' (changes), '5' (annual), or amendments '3/A' / '4/A' / '5/A'.
accession_numberstringNoExact EDGAR accession number — returns that one filing's envelope directly.
reporting_owner_namestringNoCase-insensitive substring matched against ANY reporting owner on the filing (scans reporting_owners[]). Best combined with ticker/company_cik.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.