MCP server

Brighter Official

fi.brighter/brighter

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Browse, backtest and write rule-based portfolios of tokenized US stocks.

Website

At a glance

Type

MCP server

Publisher

brighter.fi (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 1,791 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http brighter https://mcp.brighter.fi/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.brighter]
url = "https://mcp.brighter.fi/mcp"

Gemini CLI

{"mcpServers":{"brighter":{"httpUrl":"https://mcp.brighter.fi/mcp"}}}

Cursor

{"mcpServers":{"brighter":{"url":"https://mcp.brighter.fi/mcp"}}}

VS Code

{"servers":{"brighter":{"type":"http","url":"https://mcp.brighter.fi/mcp"}}}

Antigravity

agy mcp add brighter https://mcp.brighter.fi/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"brighter","server_url":"https://mcp.brighter.fi/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"brighter","server_url":"https://mcp.brighter.fi/mcp"}

Tools

• asset_history ~125 tokens
  Daily closing prices for one asset over a calendar year, for checking a rule's premise against what actually happened.
• backtest_code ~163 tokens
  Run a strategy you have written against real market history and return its figures. This is a real backtest against real prices — not a simulation and not cached per call — so run it deliberately, after check_strategy passes. Returns metrics only, never the curve.
• backtest_strategy ~206 tokens
  Run a published strategy over real market history with parameters of your choosing. Returns its figures against its benchmark. Values outside a parameter's range are snapped into it. This is a real backtest, so make each one count.
• check_strategy ~135 tokens
  Check a strategy written in Brighter's language: syntax, semantics, and whether every ticker it names is one Brighter can actually trade. Returns the faults with their line and column. Costs nothing and calls nothing upstream — check before you backtest.
• dsl_reference ~167 tokens
  How to write a Brighter strategy: the language's blocks, indentation rules, indicators and limits. Read this before writing any rule — the language is small and specific, and guessing its syntax wastes a turn.
• find_assets ~177 tokens
  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.
• format_strategy ~109 tokens
  Rewrite a strategy in the language's canonical form — the spelling Studio's editor shows. Useful for checking that what you wrote means what you think it means.
• get_allocation ~135 tokens
  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.
• get_strategy ~118 tokens
  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 benchmark. Use the parameter keys with backtest_strategy.
• list_strategies ~368 tokens
  List the strategies published on brighter.fi, newest or best-performing first. Each carries its rebalance cadence, the assets it can hold, and its return over the chosen period against its benchmark. Strategies that can hold leveraged or inverse funds are excluded unless asked for.
• strategy_schema ~88 tokens
  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_code both accept text, which is usually easier.

Browse

• Calendars
• Stocks and markets

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