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.

When was Skylit last checked?

Last checked 2026-11-07. Options flow, volatility, dealer positioning (GEX) and dark pool data for AI trading agents.

Skylit MCP server

Power your agent

Add this server

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

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://mcp.skylit.ai/mcp

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

shClaude Code

1claude mcp add --transport http ai.skylit-mcp https://mcp.skylit.ai/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "ai.skylit-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://mcp.skylit.ai/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-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

Server facts

Remote

Transport: http
Version: 0.1.1
Last checked

Tools

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

FAQ

Questions

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


URL	`https://mcp.skylit.ai/mcp`
Transport	Streamable HTTP
Auth	Sign 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

Client	Sign in with Skylit	API key	Guide
Claude (claude.ai, Desktop, mobile)	Yes	Desktop, via `mcp-remote`	clients/claude.md
Claude Code	Yes	Yes	clients/claude-code.md
Cursor	Yes	Yes	clients/cursor.md
VS Code / GitHub Copilot	Yes	Yes	clients/vscode.md
Windsurf	Yes	Yes	clients/windsurf.md
Cline	Not documented	Yes	clients/cline.md
Zed	Yes	Yes	clients/zed.md
Gemini CLI	Yes	Yes	clients/gemini-cli.md
Codex CLI	Yes	Yes	clients/codex-cli.md
ChatGPT (developer mode)	Yes	No	clients/chatgpt.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

Tool	Answers	Credits
`explain_levels`	Key dealer-positioning levels for a symbol	1
`vol_context`	Implied volatility, IV rank, expected moves, scheduled events	2
`whats_changed`	How the positioning board moved since a given time	6
`market_brief`	VIX complex, market-wide options flow, SPX and QQQ levels	5
`flow_context`	Today's options flow read for a ticker	9

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.

Group	Tools
Discovery	`flow_search`, `list_active_underlyings`, `expirations`
Scores & trades	`flow_feed`, `trade_score`, `aggregate_score`, `flow_aggregate`
Sweeps & momentum	`sweeps`, `flow_momentum`, `flow_baseline`
Strike & tide concentration	`flow_strikes`, `flow_tide`, `by_strike`
Screeners	`top_underlyings_daily`, `top_underlyings_weekly`, `top_contracts_daily`, `top_contracts_weekly`, `unusual_volume`, `unusual_oi`
Bull/bear & pressure ratios	`chain_bull_bear`, `contract_bull_bear`, `chain_ratio`, `contract_ratio`
Stats, Vol/OI & moneyness	`underlying_stats`, `underlying_bulk_stats`, `contract_bulk_stats`, `underlying_history`, `contract_history`, `flow_historical_compare`, `contract_stats`, `vol_oi`, `moneyness`
Chains, charts & RVOL	`option_chain`, `underlying_chart`, `contract_chart`, `underlying_rvol`, `contract_rvol`
Market-wide & sector	`market_overview`, `market_tide`, `market_breadth`, `sector_flow`
Dark pool	`dark_pool_trades`, `dark_pool_top_prints`
Heatseeker — gamma/vanna heatmaps	`heat_heatmap`, `heat_levels`, `heat_historical_heatmap`, `heat_stats_daily`, `heat_symbols`
Tempest — volatility suite	`tempest_iv`, `tempest_term`, , , , , , , , , , , ,

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:

Host	Data
`https://api.skylit.ai`	Dealer positioning (Heatseeker), volatility (Tempest), options flow and dark pool (Flowseeker), account
`https://flow-api.skylit.ai`	Options flow and dark pool (alias for the Flowseeker paths)
`https://atlas-api.skylit.ai`	OHLCV price bars (Atlas)

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

What's in this repo

Path	Purpose
`clients/`	Setup guide per MCP client
`plugins/claude-code/` and `.claude-plugin/marketplace.json`	Claude Code plugin: `/plugin marketplace add SkylitAI/skylit-mcp`, then `/plugin install skylit@skylit`
`gemini-extension.json` and `GEMINI.md`	Gemini 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.json`	Official MCP Registry entry (`ai.skylit/mcp`)
`llms-install.md`	Install 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.

Skylit

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install Skylit?

Does Skylit need an API key?

What transport does Skylit use?

When was Skylit last checked?

Documentation

Skylit MCP

Quick connect

Python

TypeScript

Staying current

Clients

Intelligence toolset

Tools

Pricing

REST API

What's in this repo

Data and licensing

Links