Can the AI place real trades?
No – due to a Trading212 API restriction, orders can only be created in practice (demo) mode. The live environment is supported for all other operations.
Trading212 MCP Server
@lukeplausin
Basic information
About Trading212 MCP Server
A Model Context Protocol (MCP) connector tool for interfacing agentic AI with the Trading212 broker
Trading212 MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-trading212": {
"command": "uv",
"args": [
"--directory",
"path/to/project",
"run",
"--api-key",
"<KEEP_THIS_SECRET>",
"--environment",
"demo",
"mcp-server-trading212",
"--host",
"127.0.0.1",
"--port",
"6677",
"--sse"
]
}
}
}Trading212 MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Trading212 MCP Server?
This server connects agentic AI to a Trading212 brokerage account, allowing the AI to analyse portfolios, suggest stocks, manage investment pies, and perform account queries. It is designed for users who want to give an AI controlled access to their Trading212 account while respecting aggressive API rate limits through caching.
How to use Trading212 MCP Server?
Install via uv or Docker and configure it in claude_desktop_config.json by specifying the Trading212 API key and environment (demo or live). For remote hosting, the server can run in SSE mode behind a reverse proxy. Example configuration uses uv run with --api-key and --environment flags, or the Docker image can be built and run.
Key features of Trading212 MCP Server
- Caches API results in‑memory (default 5‑minute TTL) or optionally via Redis.
- Resources to view portfolio, account info, cash, and instrument data.
- Tools to place orders (practice mode only), update investment pies, and search instruments.
- Supports STDIO and SSE transport modes.
- Can run locally or as a remote HTTP service.
Use cases of Trading212 MCP Server
- AI analyses current portfolio holdings and provides critique or insights.
- AI suggests stocks and places orders (practice‑mode only due to API limits).
- AI updates an existing Trading212 investment pie based on strategy changes.
- AI searches for instruments by company name using fuzzy matching.
Frequently asked questions
How does caching work and how can I use Redis?
The server caches API responses in‑memory for 5 minutes by default. If a local Redis server is running on port 6379, the server will automatically use it instead of the in‑memory cache.
What security precautions should I take?
Always test on the demo account first. If hosting remotely, use a reverse proxy with HTTPS and ideally Mutual TLS. Avoid storing the API key in plaintext; consider a secret manager.
What transports are available?
The server supports the standard STDIO transport (used with Claude Desktop) and SSE (Server‑Sent Events) mode for running as an HTTP service.
What license covers this server?
It is released under the MIT License. By using it you agree to the license terms, which include indemnity from any financial losses resulting from its use.
More Other MCP servers
Awesome Mlops
visengerA curated list of references for MLOps
14.0K
Blender
ahujasidOpen-source MCP to use Blender with any LLM
23.6K
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
26.0K
Health by Dr Brad
Dr Brad StanfieldHealth by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
DeepMark
DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
Comments