Skylit

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)

Claude Code

claude mcp add --transport http skylit 'https://mcp.skylit.ai/mcp' --header 'Authorization: <Optional. '\''Bearer <Skylit API key>'\'' from https://app.skylit.ai/developer?utm_source=mcp_registry&utm_medium=developer&utm_campaign=api_distribution&utm_content=server. Omit to sign in with Skylit (OAuth).>'

JSON configuration (Claude Desktop, Cursor, VS Code)

{
    "mcpServers": {
        "skylit": {
            "type": "http",
            "url": "https://mcp.skylit.ai/mcp",
            "headers": {
                "Authorization": "<Optional. 'Bearer <Skylit API key>' from https://app.skylit.ai/developer?utm_source=mcp_registry&utm_medium=developer&utm_campaign=api_distribution&utm_content=server. Omit to sign in with Skylit (OAuth).>"
            }
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents

Skylit MCP
Quick connect
Python
TypeScript
Staying current
Clients
Intelligence toolset
Tools
Pricing
REST API
What's in this repo
Data and licensing
Links

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 | | Goose | Yes | Yes | clients/goose.md | | LM Studio | Yes | Yes | clients/lm-studio.md | | Raycast | Yes (untested) | Yes (untested) | clients/raycast.md | | Continue | Not documented | Yes | clients/continue.md | | Warp | Yes | Yes | clients/warp.md | | Perplexity | Yes (unverified) | Yes (unverified) | clients/perplexity.md | | Any other MCP client, mcp-remote, MCP Inspector, raw HTTP | Yes | Yes | clients/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

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_cones`, `tempest_sigma`, `tempest_surface`, `tempest_tilt`, `tempest_events`, `tempest_snapshot`, `tempest_market`, `tempest_screener`, `tempest_history`, `tempest_derived`, `tempest_status`, `tempest_symbols`
Account	`account_usage`
Intelligence tools	`explain_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:

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

Frequently asked questions

What is Skylit?

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

How do I install Skylit?

It runs as a remote server. In Claude Code: claude mcp add --transport http skylit 'https://mcp.skylit.ai/mcp' --header 'Authorization: <Optional. '\''Bearer <Skylit API key>'\'' from https://app.skylit.ai/developer?utm_source=mcp_registry&utm_medium=developer&utm_campaign=api_distribution&utm_content=server. Omit to sign in with Skylit (OAuth).>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Skylit need an API key?

Yes. It expects Authorization, which you set in its configuration.

Is Skylit open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Skylit?

It is published by SkylitAI. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.

Server details

Listed in: Official MCP Registry
Publisher: SkylitAI
Category: Finance and payments
Runs: Remote
GitHub stars: ★ 1
License: MIT
Language: Python
Last commit: Oct 26, 2026
Open issues: 3
Version: 0.1.1
Published: Sep 30, 2026

ai.skylit/mcp

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