Skylit

ai.skylitv0.1.1更新於 Oct 1, 2026

Options flow, volatility, dealer positioning (GEX) and dark pool data for AI trading agents.

已驗證Streamable HTTP可網頁執行FinanceData & Analytics

概覽

AI 產生的概覽

讓助理以唯讀方式存取 Skylit 的美國期權市場資料：期權流、波動率、造市商持倉與暗池活動。

功能
Skylit 透過託管的 MCP 端點提供 63 個唯讀工具，每個工具封裝一個 Skylit REST 端點。工具群組涵蓋期權流探索與資料流、交易與彙總評分、掃單與動能、履約價與潮汐集中度、篩選器、多空與壓力比率、統計資料、期權鏈與圖表、全市場與類股資金流、暗池成交、gamma/vanna 熱圖（Heatseeker）以及波動率套件（Tempest）。帳戶工具可查詢點數餘額與限制。
適用情境
當助理需要當前美國期權市場情報用於研究或分析時使用，例如 gamma 價位、資金流基調、掃單、波動率曲面或暗池成交。適合只讀取資料的研究型代理；它不會下單。
執行需求
遠端 Streamable HTTP 端點 Skylit 的 OAuth 登入，或在 Authorization 標頭中攜帶 Bearer Skylit API 金鑰。存取處於 beta 階段，僅限擁有 API 存取權限的 Skylit 會員；呼叫會消耗 API 點數。
安裝前請注意
呼叫會消耗 API 點數（1 點 = 0.001 美元；典型呼叫花費 1 至 5 點），但失敗的呼叫會退還，account_usage 免費。Authorization 標頭攜帶個人 API 金鑰，請妥善保管。工具為唯讀，從不下單，但資料僅授權用於個人交易、研究與教育；商業使用、再散布或重新發布大量資料需要書面授權。資料是市場資訊，不構成投資建議。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Skylit，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "mcp": {
      "type": "http",
      "url": "https://mcp.skylit.ai/mcp"
    }
  }
}

README

Skylit MCP

Skylit is the data intelligence platform for AI trading: options flow, volatility, dealer positioning and dark pool data for US markets. The Skylit MCP server gives any MCP client (Claude, ChatGPT, Cursor, VS Code, Gemini CLI, Codex and others) read-only tools over that data.

This repository holds setup guides for each client, the Claude Code plugin, a Gemini CLI extension, an agent skill, and runnable examples. It contains no server code; the server is hosted by Skylit.

Status: beta. The API and MCP server are open to Skylit members with API access. Check yours on the Developer page.

Quick connect

URLhttps://mcp.skylit.ai/mcp
TransportStreamable HTTP
AuthSign in with Skylit (OAuth): add the URL and approve on the Skylit page. Or send Authorization: Bearer <API key> with a key from the Developer page.

Claude Code:

bash
claude mcp add --transport http skylit https://mcp.skylit.ai/mcp# then /mcp -> skylit -> Authenticate

Cursor, LM Studio, Warp and other clients that use an mcpServers JSON file:

json
{  "mcpServers": {    "skylit": {      "url": "https://mcp.skylit.ai/mcp",      "headers": { "Authorization": "Bearer YOUR_SKYLIT_API_KEY" }    }  }}

Leave out headers to sign in with Skylit instead. Field names differ between clients (url, httpUrl, serverUrl, servers), so check your client below.

Then ask: "What are the key gamma levels and today's flow tone for SPY?"

Python

bash
pip install skylit
python
from skylit import SkylitSkylit().gex_levels("SPY")   # reads SKYLIT_API_KEY

Source and docs: packages/python.

TypeScript

bash
npm install @skylitai/sdk
ts
import { Skylit } from "@skylitai/sdk";await new Skylit().gexLevels("SPY");   // reads SKYLIT_API_KEY

Source and docs: packages/typescript.

Staying current

This repo is checked against the live API every 6 hours (scripts/sync.py, sync workflow): the tool catalog and REST specs in reference/ are refreshed from Skylit's published docs, and any guide, skill, example or SDK that names a tool or endpoint that no longer exists fails the check and opens an issue.

Clients

ClientSign in with SkylitAPI keyGuide
Claude (claude.ai, Desktop, mobile)YesDesktop, via mcp-remoteclients/claude.md
Claude CodeYesYesclients/claude-code.md
CursorYesYesclients/cursor.md
VS Code / GitHub CopilotYesYesclients/vscode.md
WindsurfYesYesclients/windsurf.md
ClineNot documentedYesclients/cline.md
ZedYesYesclients/zed.md
Gemini CLIYesYesclients/gemini-cli.md
Codex CLIYesYesclients/codex-cli.md
ChatGPT (developer mode)YesNoclients/chatgpt.md
GooseYesYesclients/goose.md
LM StudioYesYesclients/lm-studio.md
RaycastYes (untested)Yes (untested)clients/raycast.md
ContinueNot documentedYesclients/continue.md
WarpYesYesclients/warp.md
PerplexityYes (unverified)Yes (unverified)clients/perplexity.md
Any other MCP client, mcp-remote, MCP Inspector, raw HTTPYesYesclients/generic.md

"Sign in with Skylit" and "API key" reflect each client's own documentation as of 2026-09-30. Guides mark anything we could not confirm.

Tools

63 tools, all read-only. Each wraps one Skylit REST endpoint with the same credit cost. Full catalog with arguments and prices: www.skylit.ai/docs/mcp/tools; machine-readable copy: reference/tools.json.

GroupTools
Discoveryflow_search, list_active_underlyings, expirations
Scores & tradesflow_feed, trade_score, aggregate_score, flow_aggregate
Sweeps & momentumsweeps, flow_momentum, flow_baseline
Strike & tide concentrationflow_strikes, flow_tide, by_strike
Screenerstop_underlyings_daily, top_underlyings_weekly, top_contracts_daily, top_contracts_weekly, unusual_volume, unusual_oi
Bull/bear & pressure ratioschain_bull_bear, contract_bull_bear, chain_ratio, contract_ratio
Stats, Vol/OI & moneynessunderlying_stats, underlying_bulk_stats, contract_bulk_stats, underlying_history, contract_history, flow_historical_compare, contract_stats, vol_oi, moneyness
Chains, charts & RVOLoption_chain, underlying_chart, contract_chart, underlying_rvol, contract_rvol
Market-wide & sectormarket_overview, market_tide, market_breadth, sector_flow
Dark pooldark_pool_trades, dark_pool_top_prints
Heatseeker — gamma/vanna heatmapsheat_heatmap, heat_levels, heat_historical_heatmap, heat_stats_daily, heat_symbols
Tempest — volatility suitetempest_iv, tempest_term, tempest_cones, tempest_sigma, tempest_surface, tempest_tilt, tempest_events, tempest_snapshot, tempest_market, tempest_screener, tempest_history, tempest_derived, tempest_status, tempest_symbols
Accountaccount_usage

Tempest tools depend on your plan; without access they return not_entitled at no charge. OHLCV price bars (Atlas) are available over REST, not MCP.

Pricing

  • Calls spend API credits: 1 credit = $0.001. A typical call costs 1 to 5 credits.
  • Failed calls are free: any 4xx or 5xx is refunded.
  • account_usage is free and returns your balance and limits. Each tool result's meta includes the remaining balance.
  • Per-tool costs: tool catalog. Plans and included credits: www.skylit.ai/pricing.

REST API

The same data is available over REST with the same key. Each host serves its OpenAPI spec at /v1/openapi.json:

HostData
https://api.skylit.aiDealer positioning (Heatseeker), volatility (Tempest), options flow and dark pool (Flowseeker), account
https://flow-api.skylit.aiOptions flow and dark pool (alias for the Flowseeker paths)
https://atlas-api.skylit.aiOHLCV price bars (Atlas)

See examples/python/rest-quickstart and the API reference.

What's in this repo

PathPurpose
clients/Setup guide per MCP client
plugins/claude-code/ and .claude-plugin/marketplace.jsonClaude Code plugin: /plugin marketplace add SkylitAI/skylit-mcp, then /plugin install skylit@skylit
gemini-extension.json and GEMINI.mdGemini CLI extension: gemini extensions install https://github.com/SkylitAI/skylit-mcp
skills/skylit/Agent skill on using the tools well: npx skills add SkylitAI/skylit-mcp
examples/Research agents: OpenAI Agents SDK, LangChain/LangGraph, Claude Agent SDK, Vercel AI SDK, plain REST
server.jsonOfficial MCP Registry entry (ai.skylit/mcp)
llms-install.mdInstall steps for AI coding agents (Cline)

The examples are research agents. They read data and never place orders; order execution is left to your own broker.

Data and licensing

  • This repository (code and docs) is MIT licensed. See LICENSE and NOTICE. The license does not cover Skylit data.
  • Skylit data is governed by the API Terms. Keys are personal. Using data for your own trading, research and education, including private agents that act for you, is covered. Commercial use, redistribution and republishing bulk data need a written license: contact [email protected].
  • Skylit data is market information, not investment advice.

Links

來源：README.md，提交 993b921

工具

0
工具後設資料尚未被收錄。

版本歷史

1
  1. v0.1.1最新Oct 1, 2026