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Skylit

by ai.skylit

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

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Server URL
https://mcp.skylit.ai/mcp
Provider
Add in Claude

Claude opens with the name and URL filled in. You still confirm it there.

Claude Code
claude mcp add --transport http ai.skylit-mcp https://mcp.skylit.ai/mcp

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "ai.skylit-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.skylit.ai/mcp"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Questions

How do I install Skylit?
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Skylit need an API key?
No required environment variable is listed on this record.
What transport does Skylit use?
Skylit is reached over HTTP.
When was Skylit last checked?
Last checked 2026-10-16. Options flow, volatility, dealer positioning (GEX) and dark pool data for AI trading agents.

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

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:

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 β€” gamma/vanna heatmapsheat_heatmap, heat_levels, heat_historical_heatmap, heat_stats_daily, heat_symbols
Tempest β€” 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 [email protected].
  • Skylit data is market information, not investment advice.

Links

  • Docs: www.skylit.ai/docs (MCP overview, quickstart, example prompts)
  • Full agent reference (REST, streams, MCP): www.skylit.ai/docs/skill.md
  • API keys: app.skylit.ai/developer
  • Support: [email protected]
  • Security: SECURITY.md
  • Legal: Terms, Privacy, API Terms
How do I install Skylit?
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Skylit need an API key?
No required environment variable is listed on this record.
What transport does Skylit use?
Skylit is reached over HTTP.
When was Skylit last checked?
Last checked 2026-10-16. Options flow, volatility, dealer positioning (GEX) and dark pool data for AI trading agents.

No tool list yet. Remote servers get one after the first health check.

plugmcp

Plug any tool into any agent. MCP servers for people who do not write servers. Gateway for volume, n8n for apps.

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PlugMCP, 2026

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