"How to Trade on E*TRADE" matching MCP servers:

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables foreign trade sales workflows by orchestrating market scanning, product selection, customer profiling, credit checks, outreach drafting, and quotation calculations with source-traceable, three-category conclusions.

Enables AI agents to paper-trade on Polymarket against live order books with realistic fees and fill mechanics, including market search, portfolio tracking, and strategy backtesting.

提供全球238个国家/地区的进出口贸易数据查询，支持按企业名称、产品关键字、HS编码等多维度联合搜索。

Enables natural-language control of DK-META2 devices through local BLE for vibration, linear extension, and rotation. It also supports scanning, connecting, status checks, and safe stop/disconnect operations without cloud access.

Provides access to Hong Kong's recreation, sports, and cultural data through a FastMCP interface, allowing users to retrieve statistics on creative goods trade including domestic exports, re-exports, and imports with optional year filtering.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

MCP server for RugGuard, enabling AI agents to perform pre-trade rug checks on tokens, with paid tools for token scanning and pre-trade verification, and a free metrics resource.

Checks an options trade for hidden catalysts such as earnings, FDA decisions, and court dates, scoring risk over a specified expiry window.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server for searching and querying detailed housing listings in Taiwan, enabling AI to find properties with filters like city, district, room count, price, and age.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

A simulation-only MCP server for recording US-equity order intents and estimating outcomes from historical Alpaca NBBO quotes, without placing live orders.

Enables full-text search of the Media History Digital Library's digitized entertainment trade press (e.g., Variety, Billboard), returning leaf-level results with keyword-in-context excerpts, no API key required.

MCP server for historical asset analysis using tvDatafeed and cached CSV files. Enables fetching OHLCV bars, candlestick charts, and trade execution data for TradingView-style assets.

Give AI agents 10 offline tools for market observations, repeated headlines, forecast evaluation, correlation risk and statistical checks. Preserve source clocks, missing data and stated assumptions. Python, CLI and MCP share the same zero-dependency core; no feed collection or trade execution.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Enables analyzing why a stock moved over a past window by running independent technical, company-news, and macro reads and reconciling them into verdicts and a narrative.