LLMQuant Data
The knowledge harness for AI‑native finance — MCP server for LLMQuant Data.
What is LLMQuant Data?
LLMQuant Data is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to knowledge harness for ai‑native finance — mcp server for llmquant data.
The knowledge harness for AI‑native finance — MCP server for LLMQuant Data.
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- The knowledge harness for AI‑native finance — MCP server for
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx dataConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use LLMQuant Data
LLMQuant Data MCP is a TypeScript-based MCP server that gives AI agents direct access to a comprehensive financial data platform, exposing over 16 tools covering quantitative finance research: semantic search across 50,000+ wiki entries and 1,200+ academic papers, US equity and crypto market data (OHLCV, candlestick), 50+ macroeconomic indicators from FRED, SEC filings (10-K, 10-Q, 8-K) with section extraction, institutional 13F holdings, and ETF fund data. It is designed for AI-native quantitative finance workflows where agents need structured financial context to support research and trading analysis.
Prerequisites
- Node.js runtime (for npx-based deployment)
- A free LLMQuant API key from llmquantdata.com (no credit card required)
- An MCP-compatible client: Claude Desktop, Cursor, Codex CLI, or Gemini CLI
Obtain your LLMQuant API key
Register at llmquantdata.com to get a free API key. The free tier includes read operations and most browsing queries at 0 credits per call.
Add to Claude Code via CLI
Use the Claude Code CLI to register the server with your API key in a single command.
claude mcp add llmquant-data \
-e LLMQUANT_API_KEY=your_api_key \
-- npx -y @llmquant/data-mcpConfigure Claude Desktop manually
Add the server block to your Claude Desktop configuration file with the required LLMQUANT_API_KEY environment variable.
{
"mcpServers": {
"llmquant-data": {
"command": "npx",
"args": ["-y", "@llmquant/data-mcp"],
"env": {
"LLMQUANT_API_KEY": "your_api_key"
}
}
}
}Test the server with the MCP Inspector
Run the MCP Inspector to browse all 16+ available tools and execute test queries before integrating with your client.
export LLMQUANT_API_KEY=your_api_key
npx @modelcontextprotocol/inspector npx -y @llmquant/data-mcpOptionally configure advanced settings
Two optional environment variables let you point to a custom API endpoint or extend the request timeout for slow network conditions.
{
"mcpServers": {
"llmquant-data": {
"command": "npx",
"args": ["-y", "@llmquant/data-mcp"],
"env": {
"LLMQUANT_API_KEY": "your_api_key",
"LLMQUANT_BASE_URL": "https://api.llmquantdata.com",
"LLMQUANT_API_TIMEOUT_MS": "30000"
}
}
}
}LLMQuant Data Examples
Client configuration
Claude Desktop config block using npx to run the LLMQuant Data MCP server with API authentication.
{
"mcpServers": {
"llmquant-data": {
"command": "npx",
"args": ["-y", "@llmquant/data-mcp"],
"env": {
"LLMQUANT_API_KEY": "your_api_key",
"LLMQUANT_BASE_URL": "https://api.llmquantdata.com",
"LLMQUANT_API_TIMEOUT_MS": "15000"
}
}
}
}Prompts to try
Example prompts to leverage LLMQuant's financial data tools from an AI assistant.
- "Search the financial wiki for articles about momentum factor investing"
- "Get daily OHLCV data for AAPL and MSFT for the past 3 months"
- "Fetch the latest 10-K filing for Tesla and extract the risk factors section"
- "Show me the most recent 13F holdings for top hedge funds"
- "What are the current values of the Fed Funds Rate and CPI from FRED?"Troubleshooting LLMQuant Data
401 Unauthorized errors when calling tools
Verify your LLMQUANT_API_KEY is set correctly in the env block of your MCP config. Keys are case-sensitive. Generate a new key from your llmquantdata.com dashboard if needed.
Requests timing out on large data queries
Increase LLMQUANT_API_TIMEOUT_MS in your config — the maximum supported value is 120000 (120 seconds). For large date range queries, narrow the time window or request fewer tickers per call.
npx downloads the package on every startup, causing slow initialization
Install the package globally to cache it: 'npm install -g @llmquant/data-mcp', then change the command in your config to 'llmquant-data-mcp' or the globally installed binary name instead of using npx.
Frequently Asked Questions about LLMQuant Data
What is LLMQuant Data?
LLMQuant Data is a Model Context Protocol (MCP) server that knowledge harness for ai‑native finance — mcp server for llmquant data. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LLMQuant Data?
Follow the installation instructions on the LLMQuant Data GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with LLMQuant Data?
LLMQuant Data works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LLMQuant Data free to use?
Yes, LLMQuant Data is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up LLMQuant Data in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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