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

Trade Agent

面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills，涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询，并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。

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.

Real-time trade screening intelligence for Claude and other AI clients — screen entities against trade screening and restricted-party information through an MCP-compatible interface, enabling faster compliance research and reducing manual screening effort.

Enables AI agents to query Engineering Leaders Community data to evaluate meetup topics, assess speaker readiness, benchmark leadership ratios, assess community launch readiness, build partnership business cases, and price community reach.

fixRAgent triages one photo of a building problem: what it is, how urgent (EMERGENCY, TODAY, THIS WEEK or WHENEVER), which trade to call, and what to tell the resident. Remote server at https://fixragent.com/mcp with three tools: try_sample, assess_property_photo, get_triage_profile. No key needed to start.

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.

Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

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

Audits a live site for machine legibility (structured data, llms.txt, titles, headings), matches a trade to one of 14 website templates with demo links, and quotes real prices. Remote Streamable HTTP on MCP spec 2026-07-28, with an eval suite in the repo.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Enables AI agents on Base to call a check_token_risk tool before trading, providing honeypot detection, LP-lock verification, brand impersonation checks, and live sell simulation across Uniswap V2/V3/V4 and Aerodrome with a clear risk score and should-trade decision.

Enables pre-trade risk screening for EVM and Solana tokens, returning a one-line verdict with detailed flags on liquidity, ownership, and other risk factors.

Provides live cross-DEX market data on six EVM chains, including per-venue prices, liquidity, and gross spreads with optimal trade sizes. Enables AI agents to query real on-chain data for BSC, Polygon, Arbitrum, Base, Avalanche, and Optimism via MCP tools.

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.

Enables mapping a company's publicly stated event presence by returning the conferences and trade shows it attends, with years, from a domain. Built on the Mamba Labs Event Presence Index actor on Apify.

Pre-trade safety for EVM, Solana and TRON: simulates a real buy and a real sell against live liquidity, so a honeypot shows as a sell that fails instead of a vendor score, and audits a wallet's standing approvals across the three chains. Python standard library only, no API key.