That is exactly what the AlphaSMO MCP server unlocks.
You have probably heard about the Model Context Protocol (MCP) — the open standard that lets AI agents like Claude, ChatGPT, and Cursor talk to external tools and APIs. Instead of hallucinating answers or being stuck with stale training data, an MCP-equipped agent can reach out to live data sources and pull back real, structured information mid-conversation.
But most MCP servers today are built for developer tools — file systems, databases, GitHub, Postgres. Few bring real-world financial intelligence to your AI agent.
That is where AlphaSMO comes in.
AlphaSMO is a platform that processes SEC 13F filings — the quarterly reports that every hedge fund, mutual fund, and institutional investor managing over $100M must file with the SEC — and turns them into clean, queryable data.
Think of it as "Bloomberg Terminal data, but for AI agents".
The AlphaSMO MCP server exposes 7 tools that your AI agent can call directly:
| Tool | What It Does |
|---|---|
search_institutions |
|
| Search 5,000+ institutional investors by name (e.g. "Berkshire", "Bridgewater") | |
get_institution_profile |
|
| Get an institution's AUM, holding count, and personality scores (concentration, turnover, sector conviction) | |
get_institution_holdings |
|
| See exactly which stocks a fund holds — ticker, value, weight, and buy/sell action vs last quarter | |
get_stock_overview |
|
| Full institutional ownership picture for any stock: holder count, net flow, top holders by value and conviction | |
get_stock_flows |
|
| Stocks ranked by net institutional buy or sell flow in the latest quarter | |
get_insider_activity |
|
| Form 4 insider trading: what officers, directors, and 10% owners are doing with their own shares | |
get_smart_money_convergence |
|
| 🚀 The flagship signal: tickers where 13F institutions AND company insiders are buying at the same time |
Every quarter, over 5,000 institutional investors managing $45+ trillion in assets must disclose their holdings to the SEC. This is not speculation or rumor — it is legally mandated transparency.
The catch? Raw 13F filings are text-based, CUSIP-coded, and virtually unreadable without processing. That is why most retail investors never touch them.
AlphaSMO does the heavy lifting:
And now, through the MCP server, your AI agent gets all of this in a single function call.
Most financial data APIs give you one signal at a time — either institutional flows or insider trading. AlphaSMO is the only MCP server that combines both into a single convergence signal.
get_smart_money_convergence
returns tickers where:
When the people who manage billions and the people who run the company are both buying — that is a signal worth paying attention to.
{
"ticker": "NVDA",
"issuer": "NVIDIA CORP",
"institutional_buy_score": 92,
"insider_confidence": 85,
"convergence_signal": "STRONG_BUY"
}
Read more about the convergence methodology on the AlphaSMO website.
No signup. No API key. No credit card. Just run:
npx alphasmo convergence --limit 5
This prints a table of the top tickers where smart money is converging right now. Here is what real output looks like:
Ticker Issuer Net Flow (USD) Confidence
BRK-A BERKSHIRE HATHAWAY INC-CL A 247,455,256,379 94
NVDA NVIDIA CORP 52,103,888,155 92
META META PLATFORMS INC 38,033,517,696 90
AMZN AMAZON COM INC 35,611,305,945 88
AVGO BROADCOM INC 31,209,512,395 87
Your AI agent sees the EXACT same structured data.
claude mcp add alphasmo -- npx -y alphasmo@latest mcp
{
"mcpServers": {
"alphasmo": {
"command": "npx",
"args": ["alphasmo", "mcp"],
"env": {
"ALPHASMO_API_KEY": "your-free-key-here"
}
}
}
}
js
import { AlphasmoClient } from "alphasmo";
const client = new AlphasmoClient();
const convergence = await client.getSmartMoneyConvergence({ limit: 5 });
console.log(convergence);
Python client also available — see alphasmo.com/developer.
Here is what you can ask your AI agent once the AlphaSMO MCP server is connected:
"What stocks are institutions buying the most right now?"
"Show me Berkshire Hathaway's latest 13F holdings, sorted by position size."
"Are insiders buying or selling NVDA? Give me the confidence score."
"Find tickers where BOTH hedge funds and company executives are accumulating."
"Which sectors is Bridgewater overweight in this quarter?"
Each question triggers a real API call behind the scenes — no hallucinated answers, no stale training data.
There are plenty of financial data APIs. There are plenty of MCP servers. But AlphaSMO is the only MCP server that bridges institutional 13F data and insider trading into a unified, AI-ready interface.
Key differentiators:
npx alphasmo
right now, no account needednpx alphasmo mcp
. No database to run, no data to ingestThe AlphaSMO MCP server is open source (MIT license):
Built with the official @modelcontextprotocol/sdk
, Zod schema validation, and structured content support for both TypeScript and Python MCP clients.
Anonymous access works out of the box (rate-limited by IP). To raise your limit, grab a free key at ** alphasmo.com/developer**.
Then set it and forget it:
export ALPHASMO_API_KEY=ask_live_...
AI agents are only as good as the data they can access. MCP is the protocol that connects them to the real world. And AlphaSMO is the MCP server that connects them to the $45 trillion world of institutional money flows.
Stop asking your AI to guess what smart money is doing. Give it the tools to know.
npx alphasmo convergence --limit 10
Disclaimer: This article is for informational and educational purposes only. It does not constitute investment advice. Past institutional behavior does not guarantee future results. 13F data has a 45-day filing delay. Always do your own research.