apifyforge/insider-political-alpha-mcp
Insider political trading signal detection — this MCP server applies six institution-grade statistical algorithms to congressional stock disclosures, SEC insider filings, campaign finance records, and federal contract data, and returns scored findings to any MCP-compatible AI client in real time.
Platform-specific configuration:
{
"mcpServers": {
"insider-political-alpha-mcp": {
"command": "npx",
"args": [
"-y",
"insider-political-alpha-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/insider-political-alpha-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/insider-political-alpha-mcp)
---
Add to your MCP client (Claude Desktop, Cursor, Windsurf):
{
"mcpServers": {
"insider-political-alpha-mcp": {
"url": "https://ryanclinton--insider-political-alpha-mcp.apify.actor/mcp"
}
}
}---
Insider political trading signal detection — this MCP server applies six institution-grade statistical algorithms to congressional stock disclosures, SEC insider filings, campaign finance records, and federal contract data, and returns scored findings to any MCP-compatible AI client in real time. Built for quantitative researchers, compliance teams, and political intelligence analysts who need more than a raw data feed.
The server runs in Apify Standby mode and exposes eight tools over the MCP protocol at the /mcp endpoint. Each tool call dispatches 3-10 Apify data actors in parallel, assembles the results, and runs one or more detection algorithms — bivariate Hawkes process, Fama-French event study, Ziv-Merhav transfer entropy, Cross-Recurrence Quantification Analysis, Difference-in-Differences, or betweenness centrality — before returning a structured JSON response with a composite 0-100 alpha score, risk level, and plain-English findings. No Bloomberg subscription, no Capitol Trades account, no manual data joining required.
| Data Point | Source | Example | |---|---|---| | 📊 Temporal coincidence score | Bivariate Hawkes process | 74 / 100 (excitation fraction 0.37) | | 📈 Cumulative Abnormal Return (CAR) | Fama-French + political factor | +8.3% over [-5, +30] day window | | 🔗 Information flow network edges | Ziv-Merhav transfer entropy | "Energy bills → XOM trades (TE=0.81)" | | 💸 Donation-trade coordination score | Cross-Recurrence Quantifi
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