trading212-mcp-server
# Trading 212 MCP Server
[](https://pypi.org/project/trading212-mcp-server/)

[](https://opensource.org/licenses/MIT)
[](https://glama.ai/mcp/servers/@KyuRish/trading212-mcp-server)



<!-- mcp-name: io.github.KyuRish/trading212-mcp-server -->
Connect your AI assistant to your Trading 212 brokerage account. Ask questions about your portfolio, place trades, manage pies, and analyze dividends - all through natural language.
Works with **Claude Desktop, Claude Code, ChatGPT, Gemini, Cursor, Windsurf**, and any client that supports the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/).
## Why this server?
- **32 tools** covering the full Trading 212 API, plus 4 analytics tools that combine multiple API calls into actionable insights
- **Smart rate limiting** - reads T212's rate limit headers, auto-waits, and retries on 429 (up to 3 times). No rate limit errors leak to your AI
- **Zero config** - install from PyPI, add your API key, done. No Docker, no database, no Redis
- **Typed responses** - every tool returns structured Pydantic models, not raw JSON
- **Paper trading** - set `ENVIRONMENT=demo` to test with virtual money first
## What can it do?
| Category | Tools | Examples |
|----------|-------|---------|
| **Analytics** | Portfolio summary, performance, dividends, activity | "Show me my portfolio P&L" |
| **Trading** | Market, limit, stop, stop-limit orders | "Buy 5 shares of AAPL" |
| **Portfolio** | Positions, cash balance, account info | "What's my cash balance?" |
| **Pies** | Create, update, duplicate, delete pies | "Show my pie allocations" |
| **Market Data** | Instrument search, exchange schedules | "Search for Tesla" |
| **History** | Past orders, dividends, transactions, CSV exports | "Show my dividend history" |
### Analytics tools
These combine multiple API calls into single high-level responses:
- **`fetch_portfolio_summary`** - Complete snapshot: total value, P&L, cash, top holdings, allocation
- **`fetch_portfolio_performance`** - Per-position returns with dividends, best/worst performers
- **`fetch_dividend_summary`** - Income analysis grouped by ticker and month
- **`fetch_recent_activity`** - Combined timeline of trades and transactions
## Quick start
### Install
```bash
uvx trading212-mcp-server
```
Or via pip:
```bash
pip install trading212-mcp-server
```
### Get your API credentials
From the Trading 212 app: **Settings > API (Beta)**. You need both the API Key and Secret - the server uses Basic Auth.
### Connect to Claude Desktop
Add to `claude_desktop_config.json` (Windows: `%APPDATA%\Claude\`, Mac: `~/Library/Application Support/Claude/`):
```json
{
"mcpServers": {
"trading212": {
"command": "uvx",
"args": ["trading212-mcp-server"],
"env": {
"TRADING212_API_KEY": "<your-api-key>",
"TRADING212_API_SECRET": "<your-api-secret>",
"ENVIRONMENT": "live"
}
}
}
}
```
### Connect to Claude Code
```bash
claude mcp add trading212 -- uvx trading212-mcp-server
```
Then set the environment variables in your shell or `.env` file.
### Other clients (Cursor, Windsurf, ChatGPT, etc.)
Same command and env vars - configure per your client's MCP docs. Set `ENVIRONMENT` to `demo` for paper trading.
### From source
```bash
git clone https://github.com/KyuRish/trading212-mcp-server.git
cd trading212-mcp-server
cp .env.example .env # fill in your API keys
uv sync
uv run -m trading212_mcp_server.server
```
<details>
<summary><code>claude_desktop_config.json</code> for source installs</summary>
```json
{
"mcpServers": {
"trading212": {
"command": "uv",
"args": ["run", "--directory", "<path-to-repo>", "-m", "trading212_mcp_server.server"],
"env": {
"TRADING212_API_KEY": "<your-api-key>",
"TRADING212_API_SECRET": "<your-api-secret>",
"ENVIRONMENT": "live"
}
}
}
}
```
</details>
## All 32 tools
### Analytics (composite)
| Tool | Description |
|------|-------------|
| `fetch_portfolio_summary` | Complete portfolio snapshot with P&L and allocations |
| `fetch_portfolio_performance` | Per-position returns, dividends, best/worst performers |
| `fetch_dividend_summary` | Dividend income by ticker and month |
| `fetch_recent_activity` | Combined timeline of trades and transactions |
### Account
| Tool | Description |
|------|-------------|
| `fetch_account_info` | Account metadata (currency, ID) |
| `fetch_account_cash` | Cash balance, invested value, P&L |
| `fetch_all_open_positions` | All portfolio positions with live prices |
| `search_specific_position_by_ticker` | Single position lookup by ticker |
### Trading
| Tool | Description |
|------|-------------|
| `place_market_order` | Buy/sell at current market price |
| `place_limit_order` | Buy/sell at specified price or better |
| `place_stop_order` | Trigger order at stop price |
| `place_stop_limit_order` | Stop trigger with limit execution |
| `fetch_all_orders` | List all pending orders |
| `fetch_order` | Get specific order by ID |
| `cancel_order` | Cancel a pending order |
### Pies
| Tool | Description |
|------|-------------|
| `fetch_pies` | List all investment pies |
| `fetch_a_pie` | Pie details with instrument allocations |
| `create_pie` | Create a new pie with target weights |
| `update_pie` | Update pie settings and allocations |
| `duplicate_pie` | Clone an existing pie |
| `delete_pie` | Remove a pie |
### Market Data
| Tool | Description |
|------|-------------|
| `search_instrument` | Search tradeable instruments by ticker or name |
| `search_exchange` | Search available exchanges |
### History
| Tool | Description |
|------|-------------|
| `fetch_historical_order_data` | Past orders with pagination |
| `fetch_paid_out_dividends` | Dividend payment history |
| `fetch_transaction_list` | Deposits and withdrawals |
| `fetch_exports_list` | List CSV export reports |
| `request_csv_export` | Request a new CSV export |
## Compatibility
Tested with these MCP clients:
| Client | Status |
|--------|--------|
| Claude Desktop | Supported |
| Claude Code | Supported |
| Cursor | Supported |
| Windsurf | Supported |
| Any MCP-compatible client | Supported |
## Author
Built by [Rishabh Dogra](https://github.com/KyuRish).
## Support
If this server saves you time, a coffee would mean a lot.
[](https://buymeacoffee.com/kyuish)
## License
MIT
TDQS
Scored across 28 tools
Most tools target a distinct resource and action (orders vs pies vs positions vs dividends), and cross-references clarify when to use aggregate vs granular tools. A few composite tools like fetch_portfolio_summary and fetch_recent_activity overlap with underlying fetch_* endpoints, but the descriptions explicitly disambiguate them.
The set is largely consistent: fetch_* for reads, place_* for order creation, create/update/delete for pies, and search_* for lookups. Minor deviations like search_specific_position_by_ticker instead of fetch_position_by_ticker, and request_csv_export instead of create/fetch_csv_export, prevent a perfect score.
At 28 tools, this exceeds the 25+ heavy threshold. Several composite tools such as fetch_portfolio_summary, fetch_portfolio_performance, fetch_recent_activity, and fetch_dividend_summary duplicate data available from more granular endpoints, inflating the surface beyond what is strictly necessary.
The tool surface covers the core account lifecycle well: orders can be placed, listed, fetched, cancelled, and reviewed historically; pies have full CRUD; positions, dividends, transactions, and exports are all readable. Minor gaps exist, such as no standalone price/quote lookup and no order modification, but agents can work around these with search_instrument or cancel+recreate.