L
LLMQuant/data-mcp
Finance datasets from LLMQuant Data
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"llmquant-data-mcp": {
"command": "npx",
"args": ["-y", "@llmquant/data-mcp"]
}
}
}Parsed from the README we fetched on 2026-11-05; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"llmquant-data-mcp": {
"command": "npx",
"args": ["-y", "@llmquant/data-mcp"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio llmquant-data-mcp -- npx -y @llmquant/data-mcp
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @llmquant/data-mcp
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @llmquant/data-mcp. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
@llmquant/data-mcp
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
The knowledge harness for AI‑native finance.
Website · Docs · 中文
> [!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 |
| wikisearch | Semantic search over 50,000+ quant wiki entries | 1 |
| wikiread | Read a wiki article by ID | 0 |
| papersearch | Semantic search over 1,200+ research papers | 1 |
| paperread | Read paper sections (intro, methods, conclusion, …) | 0 |
| cryptohistoricalklines | Crypto OHLCV candlestick data | 1 |
| cryptosnapshot | Current crypto price + 24h stats | 0 |
| polymarketeventbrowse | List or exact-filter finance-scoped Prediction Markets events by keyword, status, tag, asset, volume, and liquidity filters | 1 |
| polymarketeventsearch | Semantic search over finance-scoped Prediction Markets events | 2 |
| polymarketeventread | Read one Prediction Markets event card with child market previews | 0 |
| polymarketmarketread | Read one Prediction Markets market card with outcomes and outcome token ids | 0 |
| polymarketpricehistory | Hourly or daily implied-probability history for one outcome token | 0 |
| equityhistoricalprices | US equity daily OHLCV + dividend/split data | 0 |
| equityintradayprices | US equity 1h regular-session OHLCV bars | 1 |
| macroindicatorsearch | Browse 50+ curated macro indicators | 0 |
| macroindicatorhistory | Historical observations for a macro indicator | 1 |
| macroindicatorsnapshot | Latest value for a macro indicator | 0 |
| secfilingbrowse | Browse SEC 10-K / 10-Q / 8-K filing metadata (each row carries sectionKeys = available section codes) | 0 |
| secfilingread | Read section text from a SEC filing; pass items to fetch a batch in one call, omit for all (8-K requires accessionnumber — browse first) | 1 |
| sec13flistmanagerholdings | List an institutional manager's 13F holdings (covered manager set × at least the last 4 quarters) | 1 |
| sec13flisttickerholders | List institutional holders of a ticker (covered manager set × at least the last 4 quarters) | 1 |
| sec13flisttopmanagers | List the top N smart money managers ranked by 13F reportable value (latest quarter, up to 1000) | 0 |
Website · Docs · 中文
> [!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 |
| wikisearch | Semantic search over 50,000+ quant wiki entries | 1 |
| wikiread | Read a wiki article by ID | 0 |
| papersearch | Semantic search over 1,200+ research papers | 1 |
| paperread | Read paper sections (intro, methods, conclusion, …) | 0 |
| cryptohistoricalklines | Crypto OHLCV candlestick data | 1 |
| cryptosnapshot | Current crypto price + 24h stats | 0 |
| polymarketeventbrowse | List or exact-filter finance-scoped Prediction Markets events by keyword, status, tag, asset, volume, and liquidity filters | 1 |
| polymarketeventsearch | Semantic search over finance-scoped Prediction Markets events | 2 |
| polymarketeventread | Read one Prediction Markets event card with child market previews | 0 |
| polymarketmarketread | Read one Prediction Markets market card with outcomes and outcome token ids | 0 |
| polymarketpricehistory | Hourly or daily implied-probability history for one outcome token | 0 |
| equityhistoricalprices | US equity daily OHLCV + dividend/split data | 0 |
| equityintradayprices | US equity 1h regular-session OHLCV bars | 1 |
| macroindicatorsearch | Browse 50+ curated macro indicators | 0 |
| macroindicatorhistory | Historical observations for a macro indicator | 1 |
| macroindicatorsnapshot | Latest value for a macro indicator | 0 |
| secfilingbrowse | Browse SEC 10-K / 10-Q / 8-K filing metadata (each row carries sectionKeys = available section codes) | 0 |
| secfilingread | Read section text from a SEC filing; pass items to fetch a batch in one call, omit for all (8-K requires accessionnumber — browse first) | 1 |
| sec13flistmanagerholdings | List an institutional manager's 13F holdings (covered manager set × at least the last 4 quarters) | 1 |
| sec13flisttickerholders | List institutional holders of a ticker (covered manager set × at least the last 4 quarters) | 1 |
| sec13flisttopmanagers | List the top N smart money managers ranked by 13F reportable value (latest quarter, up to 1000) | 0 |
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- Source
- awesome · https://github.com/LLMQuant/data-mcp
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