Tradier

Tradier MCP Server

Tradier's official hosted MCP server (launched July 2026) connects AI assistants like ChatGPT, Claude, Gemini CLI, and Cursor directly to a Tradier brokerage account over Streamable HTTP. It exposes 21 tools for account data, equity/option/multileg/OCO/OTO/OTOCO order placement, market data, and watchlists, authenticated with the user's API token and a PAPER_TRADING flag for live-vs-paper switching.

GitHub

Documentation

📖
Documentation
https://docs.tradier.com/docs/tradier-mcp

Other Resources

🔗
MCPServer
https://raw.githubusercontent.com/api-evangelist/tradier/refs/heads/main/mcp/tradier-mcp.yml
🔗
ToolCrosswalk
https://raw.githubusercontent.com/api-evangelist/tradier/refs/heads/main/mcp/tradier-tool-crosswalk.yml

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API entry from apis.yml

apis.yml Raw ↑ 
aid: tradier:mcp-server
name: Tradier MCP Server
tags:
- MCP
- Agents
- Trading
- Market Data
- Artificial Intelligence
tags_raw:
- MCP
- Agents
- Trading
- Market Data
- AI
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
baseURL: https://mcp.tradier.com/mcp
humanURL: https://docs.tradier.com/docs/tradier-mcp
description: Tradier's official hosted MCP server (launched July 2026) connects AI assistants like ChatGPT,
  Claude, Gemini CLI, and Cursor directly to a Tradier brokerage account over Streamable HTTP. It exposes
  21 tools for account data, equity/option/multileg/OCO/OTO/OTOCO order placement, market data, and watchlists,
  authenticated with the user's API token and a PAPER_TRADING flag for live-vs-paper switching.
properties:
- type: Documentation
  url: https://docs.tradier.com/docs/tradier-mcp
- type: MCPServer
  url: mcp/tradier-mcp.yml
- type: ToolCrosswalk
  url: mcp/tradier-tool-crosswalk.yml
x-features:
- 21 tools with public tools/list schemas
- Streamable HTTP transport
- Live and paper trading via PAPER_TRADING flag
- Built-in documentation search
x-use-cases:
- Trade and manage a brokerage account from an AI assistant
- Build agentic trading research workflows
- Query market data conversationally