Skip to main content

Model Context Protocol server for the QJ Trader AI Trading APIs — let an LLM watch Canadian market data and place simulated orders.

Project description

qjtrader-mcp

Model Context Protocol server for the QJ Trader AI Trading APIs. Point your LLM at your QJ credential and it can watch live Canadian market data and place simulated orders — no code, no manual API testing.

Built on the official qjtrader Python SDK. Talk to it from Claude Code, Claude Desktop, or any MCP-capable client:

"Subscribe to CA:RY and MX:CRAU26, show me the books, then buy 1 CRAU26 at 97 in the sandbox and tell me the fill."

Safety model — AI trades simulated by default

Order-mutating tools (place_order, cancel_order, replace_order, cancel_all) run against a sandbox credential by default and return simulated fills. A live credential is refused unless you explicitly opt in. The server never sniffs this off the wire (the protocol doesn't expose it) — you declare it:

QJ_ENV Read tools (quotes/depth/status) Order tools
sandbox ✅ simulated
live ⛔ unless QJ_MCP_ALLOW_LIVE=1
(unset) ⛔ (fail-safe: unknown is treated as live)

Every tool result is prefixed with an environment tag ([SANDBOX] / [LIVE — REAL MONEY] / [ENV UNKNOWN]), and order quantity is capped client-side by QJ_MCP_MAX_QTY (default 25).

Install

Get a free sandbox credential (no approval) at console.qjtrader.ai.

Once published to PyPI, the zero-install path is:

uvx qjtrader-mcp        # or: pipx run qjtrader-mcp

Until then (or for local development against the SDK checkout):

# from the qjtrader-mcp/ directory, with the qjtrader-python sibling checked out:
uv sync && uv run qjtrader-mcp          # uv resolves qjtrader from ../qjtrader-python
# — or with pip —
pip install -e ../qjtrader-python -e .
qjtrader-mcp

Configure your client

Claude Code

claude mcp add qjtrader -- uvx qjtrader-mcp
# then set the credential + environment for the server:
claude mcp add qjtrader \
  -e QJ_CLIENT_ID=your-client-id \
  -e QJ_CLIENT_SECRET=your-client-secret \
  -e QJ_ENV=sandbox \
  -- uvx qjtrader-mcp

Claude Desktop / generic stdio

Add to your MCP config (claude_desktop_config.json or equivalent):

{
  "mcpServers": {
    "qjtrader": {
      "command": "uvx",
      "args": ["qjtrader-mcp"],
      "env": {
        "QJ_CLIENT_ID": "your-client-id",
        "QJ_CLIENT_SECRET": "your-client-secret",
        "QJ_ENV": "sandbox"
      }
    }
  }
}

The console's "Connect your AI" panel generates these blocks pre-filled, including QJ_ENV=sandbox.

Tools

Tool Kind Description
session_info read Environment, whether order actions are allowed, endpoints, authenticated user. Call first.
get_quote read Top-of-book (best bid/ask) for one or more symbols
get_depth read Level-2 order book for a symbol (venue-tagged on consolidated books)
watch read Sample the live stream for a bounded window; returns a digest + last messages
list_orders read Open orders + session state
place_order write Submit a limit order and wait for a terminal state
cancel_order write Cancel a working order by cid
replace_order write Amend a working order's qty/price
cancel_all write Cancel every working order (kill switch)
explain_symbol util Parse/explain a symbol (prefix + root + venue), offline
read_events read Order journal — cross-order event history; post-trade analysis & strategy debugging
get_history read Historical OHLCV bars (1s/1m); sandbox = deterministic synthetic days
get_stats read Server digest for a symbol: VWAP, spread, volume, realized vol (a digest, not a dump)
get_chain read Options chain snapshot for an underlying/expiry (latest or historical)
compare read Rank a digest metric (vwap/volume/realized_vol/spread_mean) across symbols

The read_*/get_* research tools make the LLM a quant developer: analyse the market and debug the strategy it wrote, without touching the production order path.

Configuration reference

Env var Purpose Default
QJ_CLIENT_ID / QJ_CLIENT_SECRET credential — (required)
QJ_ENV sandbox | live — declares the environment unset → treated as live
QJ_MCP_ALLOW_LIVE set 1 to authorize live order actions off
QJ_MCP_MAX_QTY client-side max order quantity 25
QJ_DATA_HOST / QJ_ORDERS_HOST endpoint overrides public QJ hosts
QJ_CA_FILE pin a CA/cert (pilot order endpoint) none

License

Apache-2.0. See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qjtrader_mcp-0.1.0.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qjtrader_mcp-0.1.0-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file qjtrader_mcp-0.1.0.tar.gz.

File metadata

  • Download URL: qjtrader_mcp-0.1.0.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for qjtrader_mcp-0.1.0.tar.gz
Algorithm Hash digest
SHA256 00df2db3b803832f2206bf1755053ae0f9281562ec5e9c5a8ba52afdc1414d1b
MD5 102974cc319ad4078c3ce35885184604
BLAKE2b-256 93c358abfa4b6fee8c72995d3bab8f30ae0e57a0d0e4e3ebd98f5da2b52a7561

See more details on using hashes here.

File details

Details for the file qjtrader_mcp-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: qjtrader_mcp-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for qjtrader_mcp-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dc50adee9140de05a1558bdd59f1662965c14e47209ef627194e8666980b4829
MD5 820e704f525e8dcf53fd37da7c71a662
BLAKE2b-256 3a4ca927587e6fa90ee0933d3d3b414ea9a9068003d5bb9a279a9c87b8fe14e2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page