# insider-political-alpha-mcp

> insider-political-alpha-mcp — apifyforge-insider-political-alpha-mcp. Use this tool when you need to detect insider political trading signals in real-time, leveraging institution-grade statistical algorithms to analyze congressional stock disclosures, SEC filings, and federal contract data. It solves problems related to predictive market analysis, risk management, and informed investment decisions by providing scored findings to AI clients. Ideal for applications requiring data-driven insights into political-economic trends and patterns.

Canonical page: https://skillsregistry.net/skills/apifyforge-insider-political-alpha-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-insider-political-alpha-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/insider-political-alpha-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apifyforge-insider-political-alpha-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-insider-political-alpha-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-insider-political-alpha-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt