LLMQuant Data MCP server

---

[!IMPORTANT] New: Company News and Polymarket prediction markets are live. Browse company updates, discover market events, and track implied probabilities from one MCP server.

Context engineering meets financial data — structured for agent context, not human browsing.

Table of Contents

• What It Does
• Available Tools
• Try It Out
• Quick Install (Prompt)
• Client Setup
• Remote / Hosted MCP
• Environment Variables
• Roadmap
• See Also
• Contributing
• License

What It Does

This is an MCP server for LLMQuant Data. It connects any AI agent to financial data — wiki articles, research papers, crypto & equity prices, prediction markets, macro indicators, SEC filings, and more — through the Model Context Protocol.

Configure once — every agent in your stack gets the data.

[!TIP] LLMQuant Skills is live. It combines these tools into ready‑made financial workflows for equity research, macro analysis, and more. Install the catalog or enable first-party Skills in the Agent Playground.

Available Tools

[!NOTE] The credit model is in beta — amounts below may change. Sign up at llmquantdata.com for free credits, no credit card required.

Tool	Description	Credit
wiki_search	Semantic search over 50,000+ quant wiki entries	1
wiki_read	Read a wiki article by ID	0
paper_search	Semantic search over 1,200+ research papers	1
paper_read	Read paper sections (intro, methods, conclusion, …)	0
crypto_historical_klines	Crypto OHLCV candlestick data	1
crypto_snapshot	Current crypto price + 24h stats	0
polymarket_event_browse	List or exact-filter finance-scoped Prediction Markets events by keyword, status, tag, asset, volume, and liquidity filters	1
polymarket_event_search	Semantic search over finance-scoped Prediction Markets events	2
polymarket_event_read	Read one Prediction Markets event card with child market previews	0
polymarket_market_read	Read one Prediction Markets market card with outcomes and outcome token ids	0
polymarket_price_history	Hourly or daily implied-probability history for one outcome token	0
equity_historical_prices	US equity daily OHLCV + dividend/split data	0
equity_intraday_prices	US equity 1h regular-session OHLCV bars	1
macro_indicator_search	Browse 50+ curated macro indicators	0
macro_indicator_history	Historical observations for a macro indicator	1
macro_indicator_snapshot	Latest value for a macro indicator	0
sec_filing_browse	Browse SEC 10-K / 10-Q / 8-K filing metadata (each row carries sectionKeys = available section codes)	0
sec_filing_read	Read section text from a SEC filing; pass items to fetch a batch in one call, omit for all (8-K requires accession_number — browse first)	1
sec_13f_list_manager_holdings	List an institutional manager's 13F holdings (covered manager set × at least the last 4 quarters)	1
sec_13f_list_ticker_holders	List institutional holders of a ticker (covered manager set × at least the last 4 quarters)	1
sec_13f_list_top_managers	List the top N smart money managers ranked by 13F reportable value (latest quarter, up to 1000)	0
etf_lookup	ETF fund identity + SEC mapping + top holdings summary (currently supported ETFs)	0
etf_holdings	ETF latest available SEC N-PORT regulatory holdings (currently supported ETFs)	1*
news_browse	Browse recent company news by ticker, event, topic, or date	2
personal_holdings	Read the holdings you saved in your LLMQuant Dashboard → Profile (your own account only)	0
personal_profile	Read the financial profile you saved in your LLMQuant Dashboard → Profile (your own account only)	0

* An unsupported ETF ticker returns 200 with an explicit coverage notice and 0 credits — you are only charged the 1 credit when holdings are actually returned.

Prediction Markets tools follow an event-first flow: use polymarket_event_search first for natural-language discovery, use polymarket_event_browse only for list/exact-filter requests, then read a selected event, read a market, and request price history for an outcome token.

More data products (company fundamentals, earnings transcripts, etc.) are on the roadmap.

Four ways to access each data product:

Try It Out

Launch the MCP Inspector to explore tools interactively in your browser:

export LLMQUANT_API_KEY=your_api_key
npx @modelcontextprotocol/inspector npx -y @llmquant/data-mcp

[!NOTE] To persist the key, add export LLMQUANT_API_KEY=your_api_key to your ~/.zshrc or ~/.bashrc.

[!TIP] You'll need an API key — sign up free at llmquantdata.com.

Quick Install (Prompt)

The fastest way: drop this prompt into Claude Code, Cursor, Codex CLI, Gemini CLI, or any MCP-enabled agent. The agent will read this README and run the right setup for its runtime.

Install the LLMQuant data-mcp server in this environment by following https://github.com/LLMQuant/data-mcp

[!TIP] Make sure LLMQUANT_API_KEY is exported in the shell where the agent runs. Get a key at llmquantdata.com.

Prefer to set it up by hand? See Client Setup below.

Client Setup

Claude Code

claude mcp add llmquant-data \
  -e LLMQUANT_API_KEY=your_api_key \
  -- npx -y @llmquant/data-mcp

Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "llmquant-data": {
      "command": "npx",
      "args": ["-y", "@llmquant/data-mcp"],
      "env": {
        "LLMQUANT_API_KEY": "your_api_key"
      }
    }
  }
}

Codex CLI

codex mcp add llmquant-data \
  --env LLMQUANT_API_KEY=your_api_key \
  -- npx -y @llmquant/data-mcp

Gemini CLI

gemini mcp add -s user \
  -e LLMQUANT_API_KEY=your_api_key \
  llmquant-data \
  npx -y @llmquant/data-mcp

Other MCP Clients

Any client supporting stdio transport can use this JSON config:

{
  "mcpServers": {
    "llmquant-data": {
      "command": "npx",
      "args": ["-y", "@llmquant/data-mcp"],
      "env": {
        "LLMQUANT_API_KEY": "your_api_key"
      }
    }
  }
}

[!NOTE] We're working on integration guides for more clients. If your agent framework isn't listed, open an issue and we'll add it.

Remote / Hosted MCP

@llmquant/data-mcp keeps local stdio as the default setup path. Signed-in LLMQuant users can also generate a hosted Remote MCP connector URL from the dashboard. Hosted connectors are useful when your MCP client supports remote connectors and you do not want to run a local Node.js process.

Claude custom connectors

In the LLMQuant dashboard, open Connect and generate a Remote MCP URL.

https://mcp.llmquantdata.com/u/lqd_mcp_.../mcp

Paste the full URL into Claude's custom connector flow. The hosted URL is separate from your local LLMQUANT_API_KEY and can be revoked from the dashboard.

[!IMPORTANT] Treat the hosted connector URL like a password. Anyone with the URL can use the connector until you revoke it.

Environment Variables

Variable	Required	Default	Description
LLMQUANT_API_KEY	Yes for stdio	—	User API key for local stdio mode
LLMQUANT_BASE_URL	No	https://api.llmquantdata.com	API base URL
LLMQUANT_API_TIMEOUT_MS	No	15000	Request timeout in ms (max 120000)

Roadmap

• Streamable HTTP transport (remote MCP without local Node.js)
• OAuth connector flow for Claude Connectors Directory
• More data products — company fundamentals, earnings transcripts
• Agent skills companion catalog (LLMQuant/skills)
• Integration guides for more agent frameworks

Have a feature request? Open an issue or email us at contact@llmquant.com.

See Also

• Awesome Trading Agents — community-curated agent recipes that turn data-mcp tools into end-to-end research workflows (equity research, macro briefings, smart-money digests).
• Documentation — full API reference, MCP setup guides, and credit policy.

Contributing

This repository is a read-only mirror. We do not accept pull requests.

Found a bug or have a feature request? Please open an issue — we actively triage and respond.

License

MIT