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anguslin

MCP Capitol Trades Server

by anguslin

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_top_traded_assetsA

Get the most traded assets (stocks, ETFs, mutual funds, bonds) by politicians over a time period, ranked by number of trades.

get_politician_statsA

Get comprehensive statistics for a specific politician including total trades, buy/sell ratio, top holdings, and trading activity breakdown.

get_asset_statsB

Get comprehensive statistics for a specific asset (stock, ETF, mutual fund, bond) including total trades, buy/sell ratio, most active traders, and trading activity breakdown.

get_buy_momentum_assetsA

Get assets (stocks, ETFs, mutual funds, bonds) with high buy momentum from politician trading activity. Shows assets where politicians are net buyers (more buys than sells) with scoring based on volume and conviction.

get_party_buy_momentumA

Get buy momentum broken down by political party. Shows consensus assets (stocks, ETFs, mutual funds, bonds) where both parties are buying, Democrat favorites, and Republican favorites with detailed buy/sell breakdowns.

get_politician_tradesB

Get politician trades with advanced filters. Filter by issuer, politician, party, transaction type, and time period.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: ranking top assets, per-politician stats, per-asset stats, buy momentum assets, party-specific buy momentum, and filtered trade listings. Even though several tools involve assets, the specific focus and output differ enough to avoid confusion.

Naming Consistency5/5

All tool names follow a consistent 'get_' + descriptive noun phrase pattern (e.g., get_politician_stats, get_buy_momentum_assets). The naming is uniform, lowercase with underscores, making it predictable and easy to navigate.

Tool Count5/5

The server has 6 tools, well within the ideal 3-15 range. Each tool covers a distinct informational need for tracking political trading activity, and none feel superfluous or missing.

Completeness5/5

The tool surface comprehensively covers the domain of congressional trading analytics: rankings, entity-specific stats, momentum analysis, party breakdowns, and raw trade queries with filters. No obvious gaps exist for the intended use case.