Skylit MCP

MCP serverCommerce & finance

Lets your agent fetch options flow, volatility, dealer positioning and dark pool data for stock trading.

Use Skylit MCP in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Skylit MCP and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use Skylit MCP

Details

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Skylit MCPStart free
About this server

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

Install Skylit MCP

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user skylit-mcp 'https://mcp.skylit.ai/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.skylit.ai/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=skylit-mcp&config=eyJ1cmwiOiJodHRwczovL21jcC5za3lsaXQuYWkvbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.skylit.ai/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add skylit-mcp --url 'https://mcp.skylit.ai/mcp'

    Run it once, then sign in with codex mcp login skylit-mcp if the server asks for an account.

From the project's README

As published by skylitai/skylit-mcp in README.md.

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:

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:

{
  "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

pip install skylit
from skylit import Skylit
Skylit().gex_levels("SPY")   # reads SKYLIT_API_KEY

Source and docs: packages/python.

TypeScript

npm install @skylitai/sdk
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.

Intelligence toolset

One-call answers for agents, each with a short factual summary, compact data and meta (cost, balance, asOf, partial). They have their own tool list, so an agent loads only these:

https://mcp.skylit.ai/mcp?toolset=intelligence
ToolAnswersCredits
explain_levelsKey dealer-positioning levels for a symbol1
vol_contextImplied volatility, IV rank, expected moves, scheduled events2
whats_changedHow the positioning board moved since a given time6
market_briefVIX complex, market-wide options flow, SPX and QQQ levels5
flow_contextToday's options flow read for a ticker9

Details: Intelligence tools.

Tools

68 tools, all read-only. Most wrap one Skylit REST endpoint with the same credit cost; the intelligence tools combine several and are served on their own list (/mcp?toolset=intelligence). 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
Intelligence toolsexplain_levels, vol_context, whats_changed, market_brief, flow_context

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 support@skylit.ai.
  • Skylit data is market information, not investment advice.

Links

Signals

Last commit
Oct 2026
Advanced
Delivery
Skylit MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
ai-skylit-mcp
Source
github.com/skylitai/skylit-mcp
Hosted endpoint
https://mcp.skylit.ai/mcp