MCP server

FirmFax prop firm data Official

com.firmfax/prop-firm-data

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

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

Website

At a glance

Type

MCP server

Publisher

firmfax.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,558 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 prop-firm-data https://firmfax.com/api/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.prop-firm-data]
url = "https://firmfax.com/api/mcp"

Gemini CLI

{"mcpServers":{"prop-firm-data":{"httpUrl":"https://firmfax.com/api/mcp"}}}

Cursor

{"mcpServers":{"prop-firm-data":{"url":"https://firmfax.com/api/mcp"}}}

VS Code

{"servers":{"prop-firm-data":{"type":"http","url":"https://firmfax.com/api/mcp"}}}

Antigravity

agy mcp add prop-firm-data https://firmfax.com/api/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":"prop-firm-data","server_url":"https://firmfax.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"prop-firm-data","server_url":"https://firmfax.com/api/mcp"}

Tools

• compare_firms ~192 tokens
  Two 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
• find_firms ~794 tokens
  Firms 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 th
• get_evidence ~187 tokens
  The 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. U
• get_firm ~97 tokens
  One 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_changes ~241 tokens
  The 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.
• list_firms ~47 tokens
  Every firm slug and name. Carries no figures, so nothing here needs evidence.

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