About StockSlash: SEC 13F, Congress & Insider Trades
StockSlash is a hosted MCP server for institutional and political stock activity. Connect it to your AI and ask about SEC 13F filings from around 80 super investors, U.S. Congress stock trades, and corporate insider (Form 4) buying
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://stockslash.com/mcpclaude mcp add --transport http stockslash https://stockslash.com/mcp{"mcpServers":{"stockslash":{"type":"http","url":"https://stockslash.com/mcp"}}}Open in Cursor{"servers":{"stockslash":{"type":"http","url":"https://stockslash.com/mcp"}}}Open in VS Code{"mcpServers":{"stockslash":{"type":"http","url":"https://stockslash.com/mcp"}}}{"mcpServers":{"stockslash":{"serverUrl":"https://stockslash.com/mcp"}}}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.
Tools
23| Parameter | Type | Required | Description |
|---|---|---|---|
| search | string | No | Fuzzy filter across fund name, manager name, strategy type, and tags. Examples: "value", "buffett", "tech", "compounder". |
| type | enum | No | Sort mode. **Default is "portfolio-value"** (biggest first) when not specified — matches what users mean by "top" or "biggest". Use "alphabetically" for A-Z, "num-stocks" by position count.alphabetically | portfolio-value | num-stocks |
| _order | enum | No | Sort direction. Defaults: desc for value/stocks (biggest first), asc for alphabetical (A-Z).asc | desc |
| quarter | string | No | Pin every fund to this quarter (e.g. "Q4-2025"). Omit for each fund's own latest. |
| limit | number | No | Cap on the number of funds returned (default: all 80). |
| include_full_holdings | boolean | No | Set true to include the full top-10 holdings with all original fields. Default false (returns top 3 + weight). |
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.