FirmFax prop firm data

Independent rule and fee data on 71 prop trading firms, every figure with its evidence state.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Independent rule and fee data on 71 prop trading firms, every figure with its evidence state.

    How to connect

    How to connect FirmFax prop firm data to Claude

    The server address to paste into Claude settings:

    https://firmfax.com/api/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect FirmFax prop firm data to ChatGPT

    The server address to paste into ChatGPT settings:

    https://firmfax.com/api/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect FirmFax prop firm data to Cursor

    The server address to paste into Cursor settings:

    https://firmfax.com/api/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (6)

    Raw names from tools/list. Only developers need these.

    get_firmOne prop trading firm. Every figure states whether we hold evidence for it, and a firm whose score range spans more than one band carries no letter grade at all.
    get_rule_changesThe dated record of what changed, newest first. Every entry states its KIND, and most of this tape is FirmFax correcting its own data rather than a firm changing its rules. Read counts before describing industry activity: a total taken across kinds overstates it.
    get_evidenceThe stored reading behind a figure: the verbatim quote, the page it came from, and the date we read it. Answers "we hold none" explicitly rather than returning an empty list. `outcome` is load-bearing: a `contradicted`, `contradiction` or `absent` row records what we read, not a figure we publish. Use get_firm for the published figure.
    find_firmsFirms matching every criterion given. A firm whose record does not carry a criterion is never counted as a match and never silently dropped: it is returned separately under unknown, with the field that could not be tested. Absence is common here, so read counts before treating the matched list as the answer.
    compare_firmsTwo firms side by side. Reports each figure with its evidence state and whether the pair is comparable at all: a field neither firm records is not a tie, and a field only one records is not a win. No per-field winner is declared, because the direction of "better" for several of these is a judgement the published scoring model already makes; each firm's grade is returned alongside so the verdict comes from that model rather than from this tool.
    list_firmsEvery firm slug and name. Carries no figures, so nothing here needs evidence.