mcp-server-worldquantbrain
<!-- mcp-name: io.github.tukorama/mcp-server-worldquantbrain -->
# MCP server and LangGraph tools for WorldQuant BRAIN
[](https://pypi.org/project/mcp-server-worldquantbrain/)
[](https://github.com/tukorama/mcp-server-worldquantbrain/actions/workflows/ci.yml)
[](https://github.com/tukorama/mcp-server-worldquantbrain/blob/main/LICENSE)
`mcp-server-worldquantbrain` is a Model Context Protocol (MCP) server for the
[WorldQuant BRAIN](https://platform.worldquantbrain.com) API, with the same tools packaged for
LangGraph and LangChain. It lets an agent look up data fields, backtest Fast Expression (FASTEXPR)
alphas and read the results. Unofficial, and not affiliated with WorldQuant.
## Why this exists
Driving BRAIN from an agent goes wrong in a few predictable ways, and each one shaped this package.
- **A simulation takes minutes and clients give up sooner.** A wait that runs out returns `PENDING`
with an id, and `get_simulation_status` picks it up again. Nothing is resubmitted.
- **Agents repeat themselves, and simulations are metered.** A local ledger remembers every
expression and settings pair, so a repeat returns the earlier alpha instead of spending quota.
- **BRAIN responses are huge.** Tools return trimmed, typed results: a PnL series becomes yearly
figures, lists are paged and capped, and messages lose their embedded images.
- **Logging in is awkward.** The session is saved to disk, so restarts and short-lived stdio
processes reuse it. If BRAIN asks for a biometric check you get a URL to open, not a headless
browser you cannot see.
- **Submission is permanent.** `submit_alpha` does not exist unless you turn it on, and when it is
on it runs BRAIN's checks and the self-correlation test first and refuses on any failure.
## Quick start
Store your login once. Credentials go to `~/.config/mcp-server-worldquantbrain/credentials.json`, readable
only by you.
```bash
uvx mcp-server-worldquantbrain auth
```
Then add the server to your client.
### Claude Code
```bash
claude mcp add brain -- uvx mcp-server-worldquantbrain
```
### Claude Desktop, Cursor, VS Code and others
```json
{
"mcpServers": {
"brain": { "command": "uvx", "args": ["mcp-server-worldquantbrain"] }
}
}
```
Now ask for something like "Find a value signal in the fundamental datasets for USA TOP3000 and
backtest it."
Prefer to pass credentials directly? Add `"env": {"WQB_EMAIL": "...", "WQB_PASSWORD": "..."}`.
## LangGraph and LangChain
The `langgraph` extra gives you plain LangChain tools in the same process, with no MCP server to
run. It also has a prebuilt agent.
```bash
uv add "mcp-server-worldquantbrain[langgraph]"
```
```python
from mcp_server_worldquantbrain.integrations.langgraph import create_brain_agent, get_brain_tools
agent = create_brain_agent("anthropic:claude-sonnet-5")
result = await agent.ainvoke({"messages": [("user", "Backtest rank(-returns) and summarize it")]})
# Or take the tools and build your own graph:
tools = get_brain_tools()
```
The tools work from sync and async graphs. With `WQB_ALLOW_SUBMIT=true` the agent stops for human
approval before `submit_alpha`. Invoke it with a `thread_id` in the config, and resume with
`Command(resume=...)`. `get_brain_tools()` leaves `submit_alpha` out, because a custom graph has no
approval step; pass `include_submit=True` once yours does.
To keep BRAIN in a separate process, connect over MCP instead. This route needs `langchain[mcp]`,
which LangChain still marks as beta.
```python
from langchain.agents import create_agent
from langchain.mcp import MCPAdapter
config = {
"mcpServers": {
"brain": {
"command": "uvx",
"args": ["mcp-server-worldquantbrain"],
"timeout": 1_200_000, # milliseconds; simulations block
}
}
}
async with MCPAdapter(config) as adapter:
agent = create_agent("anthropic:claude-sonnet-5", await adapter.list_tools())
```
The subprocess inherits only `HOME`, `PATH` and a few others, so anything else, including `WQB_*`
variables, has to go in `env`. Over this route a submission confirmation arrives as a LangGraph
interrupt, so give the agent a checkpointer if you enable submission. A deployable example is in
[examples/langgraph_app](https://github.com/tukorama/mcp-server-worldquantbrain/tree/main/examples/langgraph_app).
`draw_mermaid(agent)` from `mcp_server_worldquantbrain.integrations.langgraph` returns the graph as
a [Mermaid](https://mermaid.js.org) flowchart, for the prebuilt agent or a graph of your own. Tools
are grouped by area and colored by what they can change. This is the prebuilt agent with
`WQB_ALLOW_SUBMIT=true`:
```mermaid
---
config:
flowchart:
nodeSpacing: 24
rankSpacing: 12
padding: 8
---
flowchart TB
subgraph agent["Agent graph"]
direction LR
n0([start])
n1["model"]
n2["tools"]
n3{{"human approval<br/>before submit_alpha"}}:::approval
n4([end])
n3 -.-> n4
n3 -.->|"rejected"| n1
n3 -.->|"approved"| n2
n0 --> n1
n1 --> n3
n2 -.-> n1
end
subgraph tools["Tools"]
direction TB
subgraph tools_row0[" "]
direction LR
subgraph tools_auth["Login"]
direction LR
tools_auth_read["auth_status"]:::read
tools_auth_write["authenticate<br/>complete_authentication"]:::write
end
subgraph tools_simulations["Simulate"]
direction LR
tools_simulations_read["get_simulation_status<br/>get_simulation_options"]:::read
tools_simulations_write["simulate_alpha<br/>simulate_alphas_batch"]:::write
end
subgraph tools_submit["Submit"]
direction LR
tools_submit_irreversible["submit_alpha"]:::irreversible
end
tools_auth ~~~ tools_simulations ~~~ tools_submit
end
subgraph tools_row1[" "]
direction LR
subgraph tools_alphas["Alphas"]
direction LR
tools_alphas_read["get_alpha<br/>list_alphas<br/>get_alpha_pnl<br/>list_alpha_recordsets<br/>get_alpha_recordset<br/>check_alpha_submission<br/>get_alpha_self_correlation<br/>get_alpha_prod_correlation"]:::read
tools_alphas_write["update_alpha"]:::write
end
subgraph tools_data["Data"]
direction LR
tools_data_read["list_datasets<br/>get_dataset<br/>list_datafields<br/>get_datafield<br/>list_data_categories<br/>list_operators"]:::read
end
subgraph tools_users["Account"]
direction LR
tools_users_read["get_user_profile<br/>get_user_activity<br/>list_messages"]:::read
end
tools_alphas ~~~ tools_data ~~~ tools_users
end
tools_row0 ~~~ tools_row1
end
agent -- tool calls --> tools
subgraph legend["Legend"]
direction TB
legend_read["read-only"]:::read
legend_write["changes account state"]:::write
legend_irreversible["irreversible"]:::irreversible
end
brain["BRAIN API"]:::external
tools -- HTTPS --> brain
tools ~~~ legend
classDef default fill:#64748b,fill-opacity:0.06,stroke:#64748b
classDef read fill:#64748b,fill-opacity:0.14,stroke:#64748b
classDef write fill:#d97706,fill-opacity:0.16,stroke:#d97706
classDef irreversible,approval fill:#dc2626,fill-opacity:0.16,stroke:#dc2626,stroke-width:2px
classDef external fill-opacity:0,stroke-dasharray:5 4
classDef box fill:#64748b,fill-opacity:0.05,stroke:#64748b,stroke-opacity:0.45
classDef row fill:none,stroke:none
class agent,tools,tools_auth,tools_simulations,tools_submit,tools_alphas,tools_data,tools_users,legend box
class tools_row0,tools_row1 row
```
## Tools
| Group | Tool | Notes |
|---|---|---|
| Login | `authenticate`, `complete_authentication`, `auth_status` | Other tools log in by themselves |
| Simulate | `simulate_alpha` | Blocks up to 15 minutes by default; `wait=False` returns at once |
| | `simulate_alphas_batch` | Up to 30 expressions, in groups of 10; needs multi-simulation access |
| | `get_simulation_status` | Check or resume a simulation |
| | `get_simulation_options` | Regions, universes and delays your account can use |
| Alphas | `get_alpha`, `list_alphas` | Filter by Sharpe, fitness, turnover, date, tag and more |
| | `get_alpha_pnl`, `list_alpha_recordsets`, `get_alpha_recordset` | PnL by year; other recordsets as rows |
| | `update_alpha` | Name, description, tags, color, category |
| | `check_alpha_submission` | BRAIN's pre-submission checks |
| | `get_alpha_self_correlation`, `get_alpha_prod_correlation` | Production correlation depends on account tier |
| | `submit_alpha` | Off unless `WQB_ALLOW_SUBMIT=true` |
| Data | `list_datasets`, `get_dataset`, `list_datafields`, `get_datafield` | |
| | `list_data_categories`, `list_operators` | |
| Account | `get_user_profile`, `get_user_activity`, `list_messages` | Personal fields are withheld by default |
Resources: `brain://operators`, `brain://simulation-options`, `brain://alphas/{alpha_id}`, and
reference pages under `brain://docs/` (`fastexpr-cheatsheet`, `settings-guide`,
`submission-criteria`).
Prompts: `design_alpha` runs a short research loop. `review_alpha` assesses an existing alpha.
## Configuration
All settings are environment variables. A `.env` file in the working directory also works, except
for settings that decide where credentials go or that enable submission (`WQB_BASE_URL`, the file
and directory paths, the `WQB_SUBMIT_*` and `WQB_ALLOW_SUBMIT` settings, and the bearer token).
These have to be set in the real environment.
| Variable | Default | Purpose |
|---|---|---|
| `WQB_EMAIL`, `WQB_PASSWORD` | | Login. These win over the credentials file |
| `WQB_CREDENTIALS_FILE` | `~/.config/mcp-server-worldquantbrain/credentials.json` | JSON: `["email", "password"]` |
| `WQB_SESSION_FILE` | `~/.config/mcp-server-worldquantbrain/session.json` | Saved session. Delete it to log out |
| `WQB_CACHE_DIR` | `~/.cache/mcp-server-worldquantbrain` | Catalogue cache and simulation ledger |
| `WQB_CACHE_TTL` | per catalogue | Seconds; `0` disables the cache |
| `WQB_LEDGER` | `true` | Reuse results of identical simulations |
| `WQB_ALLOW_SUBMIT` | `false` | Expose `submit_alpha` |
| `WQB_SUBMIT_CONFIRM` | `elicit` | Ask the user first where the client supports it; `none` skips asking |
| `WQB_SUBMIT_CORRELATION_GATE` | `0.7` | Refuse at or above this self-correlation; `0` disables |
| `WQB_MAX_CONCURRENT_SIMULATIONS` | `2` | Blocking simulation calls this process runs at once |
| `WQB_SIMULATION_TIMEOUT` | `900` | Seconds a blocking simulation waits |
| `WQB_HTTP_TIMEOUT` | `30` | Seconds per HTTP request |
| `WQB_POLL_MAX_INTERVAL` | `30` | Longest pause between status polls |
| `WQB_HTTP_BEARER_TOKEN` | | Required by the HTTP transport on a non-local address |
| `WQB_LOG_LEVEL` | `INFO` | Logs go to stderr |
| `WQB_DEFAULT_REGION`, `WQB_DEFAULT_UNIVERSE`, `_DELAY`, `_DECAY`, `_NEUTRALIZATION`, `_TRUNCATION`, `_PASTEURIZATION`, `_UNIT_HANDLING`, `_NAN_HANDLING`, `_TEST_PERIOD`, `_MAX_TRADE`, `_INSTRUMENT_TYPE` | USA, TOP3000, 1, 0, INDUSTRY, 0.08, ON, VERIFY, OFF, none, OFF, EQUITY | Used when a call leaves a setting out. A call for another region must name its universe |
On Windows the two directories are `%APPDATA%\mcp-server-worldquantbrain` and
`%LOCALAPPDATA%\mcp-server-worldquantbrain`, and files are protected by your user profile rather than POSIX
permissions.
To serve over HTTP:
```bash
WQB_HTTP_BEARER_TOKEN=change-me mcp-server-worldquantbrain serve --transport streamable-http --host 0.0.0.0
```
The server refuses a non-local address without a token. `/health` stays open for probes.
## How it behaves
**Long calls.** Claude Desktop has been reported to cancel stdio tool calls after about a minute, so
for that client each call is limited to 45 seconds of waiting and the agent resumes with
`get_simulation_status`. Claude Code and LangGraph wait as long as you let them. Set
`WQB_SIMULATION_TIMEOUT` to match whatever your client allows.
**Concurrency.** BRAIN limits simultaneous simulations per account and does not publish the number.
The default of 2 is deliberately cautious. Raise it if your account allows more. The setting only
counts blocking calls while they wait, and one batch group of up to 10 uses one slot. `wait=False`
calls, simulations still running after a timeout, and other processes on the same account are not
counted, and can hit BRAIN's own limit, which comes back as a rate-limit error with a suggested
wait.
**The ledger.** Whitespace in an expression does not matter; every setting does. Pass `force=True`
to run an identical simulation again. Failed simulations can be run again.
**Writes are not retried.** A POST that may have reached BRAIN is never repeated automatically, so a
network failure cannot spend quota twice or submit twice. Reads retry with backoff and honour
`Retry-After`.
**Biometric login.** `authenticate` returns a URL, the user finishes the check in a browser, and
`complete_authentication` ends the login. The pending check is saved for 30 minutes, so it survives
a restart. On a terminal, `mcp-server-worldquantbrain auth` does the same with a prompt.
**What is cached.** Operators and simulation options for a week, categories and dataset pages for a
day. Alphas, simulations, checks, correlations and data fields are always fetched fresh.
**What is never logged.** Passwords, cookies, authorization headers and session tokens are masked,
and email addresses are shortened, in logs and error messages.
## Limitations
- BRAIN's API documentation sits behind a login, and BRAIN can change the API without notice. Run
`WQB_LIVE=1 uv run pytest -m live` to check it against your account.
- Login, saved sessions, data catalogues, single simulations, alpha search, PnL, recordsets,
submission checks and self-correlation have been run against a live account. Biometric
completion, multi-simulation, `update_alpha`, `submit_alpha` and production correlation results
have only been tested against responses documented by other BRAIN clients, so treat them as less
proven. If a biometric completion fails, log in once on the BRAIN website and call `authenticate`
with `force=true`.
- The self-correlation gate fails closed: if BRAIN will not report the figure, `submit_alpha`
refuses. Set `WQB_SUBMIT_CORRELATION_GATE=0` on accounts where that endpoint is unavailable.
- Simulations are REGULAR FASTEXPR alphas. SUPER and region-agnostic alphas, Python alphas, forum
access, payments, competitions and pyramids are not covered.
- There is no cancel tool, because no cancel endpoint is known.
- `credentials.json` is plaintext protected by file permissions. Use `WQB_EMAIL` and `WQB_PASSWORD`
from your own secret store if that is not enough.
- Check that your use of automation complies with the BRAIN terms that apply to you.
## Other WorldQuant BRAIN projects
- [cnhkmcp](https://pypi.org/project/cnhkmcp/) is on PyPI and covers far more of the platform,
including the forum. It is a large install that bundles Selenium.
- [lavender1203/world-quant-brain-mcp](https://github.com/lavender1203/world-quant-brain-mcp) has the
deepest local analytics, such as correlation pools and an alpha history database. It runs with
Docker and Redis over HTTP, and has no license.
- [QuantGPT](https://github.com/Miasyster/QuantGPT) is a full research agent with its own knowledge
base, for when you want the loop rather than the tools.
- [worldquant-harness](https://github.com/gyx09212214-prog/worldquant-harness) adds local backtests
and a strict human submission boundary.
- [brainapi-go-sdk](https://github.com/wh0amibjm/brainapi-go-sdk) is a Go SDK and CLI with static
binaries and tests built on captured API responses.
- [rocky-d/wqb](https://github.com/rocky-d/wqb) is a plain Python client, if you do not need an
agent interface.
No code in this repository was copied from those projects.
## Development
To point a client at a checkout, use `uvx --from /path/to/mcp-server-worldquantbrain mcp-server-worldquantbrain`,
or `uv add --editable ../mcp-server-worldquantbrain` from your LangGraph project. See
[CONTRIBUTING.md](https://github.com/tukorama/mcp-server-worldquantbrain/blob/main/CONTRIBUTING.md)
and [RELEASING.md](https://github.com/tukorama/mcp-server-worldquantbrain/blob/main/RELEASING.md).
## License
[MIT](https://github.com/tukorama/mcp-server-worldquantbrain/blob/main/LICENSE)
TDQS
Scored across 25 tools
Tools are grouped into clear resource families (datasets/datafields, alphas, simulations, auth, user) and each action is largely distinct. The only real overlap is get_alpha_pnl vs get_alpha_recordset and get_dataset vs get_datafield, and the descriptions explicitly steer callers ('Prefer get_alpha_pnl for PnL'), which resolves the ambiguity in practice.
Almost everything follows a predictable snake_case verb_noun pattern (list_datasets, get_alpha, simulate_alpha, check_alpha_submission). Minor deviations: auth_status has no verb, and authenticate stands alone without a noun object, but the convention remains readable overall.
25 tools is at the upper edge of well-scoped; each maps to a real BRAIN operation, but several niche read tools (get_alpha_self_correlation, get_alpha_prod_correlation, list_alpha_recordsets, get_alpha_recordset, list_messages) could be folded into broader getters without losing capability.
Simulation, discovery, and alpha inspection are well covered, including batch runs, resume-via-status, and pre-submission checks. However, there is no tool to actually submit an alpha (only check_alpha_submission), no delete_alpha, and no way to enumerate past simulations independent of alphas, leaving lifecycle dead ends.