Edgarmcp runs on your own machine — the client starts it, so there is no endpoint to ping. 68 installs a week from pypi.
Clean, normalized SEC EDGAR / FRED / ETF / index data for AI agents.
The linked repository no longer exists on GitHub — it was deleted or made private.
We have not read this server's code yet, 14 d ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
return os.path.join(self._dir, f"{digest}.cache")
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add edgarmcp -- uvx mcp-edgar
{
"mcpServers": {
"edgarmcp": {
"args": [
"mcp-edgar"
],
"command": "uvx"
}
}
}
[mcp_servers.edgarmcp]
command = "uvx"
args = ["mcp-edgar"]
{
"mcpServers": {
"edgarmcp": {
"args": [
"mcp-edgar"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"edgarmcp": {
"args": [
"mcp-edgar"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
EDGAR_USER_AGENT (Override the SEC User-Agent contact string), FRED_API_KEY (Free FRED API key for get_macro_series and index levels), OPENFIGI_API_KEY (Optional OpenFIGI key for a higher CUSIP/ISIN rate limit).
The author declared them in the registry entry; get the values from the project itself.
Normalized SEC EDGAR data for AI agents: XBRL financials, 10-K risk diffs, Form 4 insider trades.
Validate, transform, and normalize structured data for AI agents.
Normalized US-GAAP financial statements & fundamentals from SEC EDGAR, as MCP tools for LLM agents.
Point-in-time, survivorship-free SEC EDGAR fundamentals + smart-money signals for AI agents.
Provenance-first web + SEC EDGAR data for AI agents: every fact carries its verifiable source.
SEC EDGAR for AI agents: company filings, financials and insider trades. No API keys.
Five deterministic micro-tools for AI-agent data pipelines: clean, dedupe, normalize, score, detect.
The open retrieval layer for AI agents — index code, docs, data. Search via MCP.
Answers built from our own checks of this server.