tickerdb/tickerdb-mcp
by Various
Stock market data for Claude, ChatGPT, Cursor, etc.
MCP
tickerdb/tickerdb-mcp
Added 3 Sept 2026
Overview
An open source Model Context Protocol server that supplies stock market data to AI assistants including Claude, ChatGPT, and Cursor. It is written in TypeScript and exposes market data through the MCP interface for use in chat and coding workflows.
Best for
Best for
Developers building AI assistants or coding tools that need stock market data
Use cases
- Add stock quotes and market data to Claude conversations
- Let ChatGPT fetch financial data during a chat session
- Connect Cursor to stock data for code that analyzes markets
How to use
Install
npx wrangler dev # remote dev server Tools exposed
get_summaryget_ohlcvget_searchget_schemaget_watchlistget_watchlist_changesadd_to_watchlistremove_from_watchlistget_account
Tested with
Claude Desktop, Claude Code, Cursor, ChatGPT
Example client config
{\n "mcpServers": {\n "tickerdb": {\n "command": "npx",\n "args": ["tickerdb-mcp"],\n "env": {\n "TICKERDB_KEY": "tdb_your_api_key_here"\n }\n }\n }\n} Notes
An open source Model Context Protocol server that supplies stock market data to AI assistants including Claude, ChatGPT, and Cursor. It is written in TypeScript and exposes market data through the MCP interface for use in chat and coding workflows.
5 stars on GitHub. Last updated 2026-08-10. Licensed MIT.
Use cases
- Add stock quotes and market data to Claude conversations
- Let ChatGPT fetch financial data during a chat session
- Connect Cursor to stock data for code that analyzes markets
Pros
- Simple MCP integration for multiple popular AI tools
- Open source with a TypeScript codebase for easy customization
- Lightweight dependency for adding market data to an assistant
Cons
- Only 5 stars, indicating low community adoption or early stage
- No detailed documentation provided beyond the one-line description
- Data coverage and update frequency are not specified
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple MCP integration for multiple popular AI tools
- Open source with a TypeScript codebase for easy customization
- Lightweight dependency for adding market data to an assistant
Cons
- Only 5 stars, indicating low community adoption or early stage
- No detailed documentation provided beyond the one-line description
- Data coverage and update frequency are not specified
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