Skylit

ai.skylitPublished by skylit.aiOfficial publisherv0.1.1Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableFinanceData & Analytics

Overview

AI-generated overview

Skylit is a hosted, read-only MCP server giving AI assistants US options flow, volatility, dealer positioning (GEX) and dark pool data.

What you can do
  • Search and discover options flow: flow search, active underlyings, expirations, flow feeds, trade and aggregate scores, sweeps and momentum.
  • Screen and compare contracts and underlyings: daily and weekly top lists, unusual volume and open interest, bull/bear and pressure ratios, Vol/OI, moneyness, stats and history.
  • Inspect chains, charts and relative volume, plus market-wide and sector flow, breadth and tide.
  • Read dark pool trades and top prints.
  • Query gamma/vanna heatmaps (Heatseeker) and a volatility suite of IV, term structure, cones, surface, tilt and events (Tempest).
  • Get one-call intelligence summaries (levels, volatility context, what changed, market brief, flow context) and check…
When to use it
Useful when an assistant needs to answer questions about US options positioning, flow, implied volatility or dark pool activity, for example key gamma levels or today's flow tone for a ticker. Suited to research and analysis agents rather than order execution.
Requirements
Remote Streamable HTTP endpoint at mcp.skylit.ai; no local install. Requires a Skylit account with API access (beta): either OAuth sign-in with Skylit or an Authorization header carrying a Bearer API key from the Skylit developer page. Calls consume paid API credits, and some Tempest tools depend on the plan.
Before you install
Calls spend API credits (1 credit = $0.001; typical call 1 to 5 credits), so agent use costs money; failed calls are refunded. The API key is personal and must be kept secret. Tools are read-only and place no orders, but data is licensed for personal trading, research and education only; commercial use or redistribution needs a written license. Data is market information, not investment advice.

Installation

In SourceWeft

  1. Open Skylit in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.skylit%2Fmcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "skylit": {
      "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.

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

69 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, flux_field
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 [email protected].
  • Skylit data is market information, not investment advice.

Links

Source: README.md at commit b720b03

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v0.1.1LatestOct 1, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts