Categories › Business & Finance › Market data, stocks & crypto
Browse, backtest and write rule-based portfolios of tokenized US stocks.
Remote server: your requests and data go to mcp.brighter.fi. Claude Code: claude mcp add --transport http brighter https://mcp.brighter.fi/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
list_strategies — List the strategies published on brighter.fi, newest or best-performing first. Each carries its rebalance cadence, the assets it can hold, aget_strategy — One strategy in full: what its rule does, the parameters you can tune with their ranges and defaults, every asset it can hold, and its benchbacktest_strategy — Run a published strategy over real market history with parameters of your choosing. Returns its figures against its benchmark. Values outsidget_allocation — What a published strategy's rule holds right now, in basis points of the portfolio. This is the live target, computed from the latest close.find_assets — Search the assets a Brighter strategy can hold — tokenized US stocks, ETFs and T-bills. A rule may only name a ticker that appears here.asset_history — Daily closing prices for one asset over a calendar year, for checking a rule's premise against what actually happened.dsl_reference — How to write a Brighter strategy: the language's blocks, indentation rules, indicators and limits. Read this before writing any rule — the lstrategy_schema — The JSON schema for a strategy as an object, for when you would rather build the rule tree than write the text. check_strategy and backtest_check_strategy — Check a strategy written in Brighter's language: syntax, semantics, and whether every ticker it names is one Brighter can actually trade. Reformat_strategy — Rewrite a strategy in the language's canonical form — the spelling Studio's editor shows. Useful for checking that what you wrote means whatbacktest_code — Run a strategy you have written against real market history and return its figures. This is a real backtest against real prices — not a simuNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.