InsightSentry MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@InsightSentry MCPwhat's the current price of Apple stock?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@insightsentry/mcp
MCP server and CLI for the InsightSentry financial data API.
Gives AI assistants direct access to real-time and historical market data for equities, futures, options, crypto, forex, and more — plus comprehensive documentation resources for building applications with the InsightSentry API and WebSocket feeds. Also usable as a standalone CLI for scripting and terminal workflows.
Install
npm install -g @insightsentry/mcpThis gives you two commands:
Command | Purpose |
| CLI for terminal / scripting |
| MCP server for AI assistants |
Get your API key from the InsightSentry Dashboard.
export INSIGHTSENTRY_API_KEY="your-api-key"MCP Server Setup
No global install needed — use npx in your MCP config.
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"insightsentry": {
"command": "npx",
"args": ["-y", "@insightsentry/mcp"],
"env": {
"INSIGHTSENTRY_API_KEY": "your-api-key"
}
}
}
}Claude Code
Add to .mcp.json in your project root:
{
"mcpServers": {
"insightsentry": {
"command": "npx",
"args": ["-y", "@insightsentry/mcp"],
"env": {
"INSIGHTSENTRY_API_KEY": "your-api-key"
}
}
}
}Other MCP Clients
Any MCP client that supports stdio transport can use the server:
insight-mcpCLI Usage
insight --help # List all tools
insight <tool> --help # Tool-specific parameters
insight <tool> [--param value] # Call a toolExamples
# Search for a symbol
insight search_symbols --query "tesla"
# Get real-time quotes
insight get_quotes --codes "NASDAQ:AAPL,NASDAQ:MSFT"
# Daily OHLCV with JSONata filter
insight get_symbol_series --symbol "NASDAQ:AAPL" --bar_type day --dp 30 \
--filter "{ \"last_close\": series[-1].close, \"avg_vol\": \$average(series.volume) }"
# Screen for high-cap stocks
insight screen_stocks --fields "close,volume,market_cap" \
--exchanges "NYSE,NASDAQ" --sortBy market_cap --sortOrder desc
# Upcoming earnings
insight get_earnings --c US
# Options chain
insight list_options --code "NASDAQ:AAPL" --type call --range 10All tools support --filter <jsonata> to transform/reduce the JSON response before output. See JSONata docs for expression syntax.
Available Tools (28)
Market Data
Tool | Description |
| Recent OHLCV data (up to 30k bars) with real-time option |
| Deep historical data (20+ years) |
| Real-time quotes for up to 10 symbols |
| Symbol metadata (type, sector, market cap, etc.) |
| Trading session details and hours |
| Futures contract list with settlement dates |
Search
Tool | Description |
| Search for symbols across all asset classes |
Fundamentals
Tool | Description |
| Company fundamentals (valuation, profitability, balance sheet) |
| Historical fundamental indicators |
| Available fundamental/technical indicator IDs |
Options
Tool | Description |
| List available option contracts |
| Option chain by expiration date |
| Option chain by strike price |
Screeners
Tool | Description |
| Filter stocks with custom criteria |
| Filter ETFs with custom criteria |
| Filter bonds with custom criteria |
| Filter crypto with custom criteria |
| Available stock screener fields |
| Available ETF screener fields |
| Available bond screener fields |
| Available crypto screener fields |
Calendar
Tool | Description |
| Dividend calendar |
| Earnings calendar |
| IPO calendar |
| Economic events calendar |
News & Documents
Tool | Description |
| Financial news with keyword filtering |
| List SEC filings and transcripts |
| Get specific document content |
Documentation Resources
The MCP server also provides documentation resources that AI assistants can read to help you build applications:
Resource | Content |
| Complete REST API reference |
| WebSocket API: connection, subscriptions, data formats, code examples |
| Screener API: field discovery and filtering |
| Options API: chains, Greeks, option codes |
| Futures historical data and contract month logic |
Online Documentation
API Docs: https://insightsentry.com/docs
WebSocket Live Demo: https://insightsentry.com/test/realtime
News Feed Demo: https://insightsentry.com/test/newsfeed
OpenAPI Spec: https://insightsentry.com/openapi.json
Development
npm install
npm run generate # Generate tool definitions from OpenAPI spec
npm run build # Generate + compile TypeScript
npm run dev # Run MCP server with tsx (no build needed)Testing
npx tsx --test test/cli.test.ts # CLI unit testsLicense
MIT
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