FirmFax prop firm data
Independent rule and fee data on 71 prop trading firms, every figure with its evidence state.
Should I use this
Quality & Safety
Findings (2)
- LOWin get_firm
- LOWin list_firms
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"prop-firm-data": {
"url": "https://firmfax.com/api/mcp"
}
}
}Remote endpoints
https://firmfax.com/api/mcpstreamable-httpWhat it can do
Tool inventory
Tools (6)
🟢get_firm(slug)
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.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "The firm slug, e.g. \"topstep\"."
}
},
"required": [
"slug"
]
}🟢get_rule_changes(slug, since, kind, limit)
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.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Limit to one firm. Omit for every firm."
},
"since": {
"type": "string",
"description": "ISO date, e.g. \"2026-08-01\". Entries dated on or after it."
},
"kind": {
"type": "string",
"enum": [
"firm",
"record",
"withdrawn"
],
"description": "firm = the firm changed a rule. record = FirmFax corrected its own data. withdrawn = we published an entry and then retracted it."
},
"limit": {
"type": "number",
"description": "How many entries to return, newest first. Default 50."
}
}
}🟢get_evidence(slug, field)
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. Use get_firm for the published figure.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "The firm slug, e.g. \"topstep\"."
},
"field": {
"type": "string",
"description": "One field path, e.g. \"rules.dailyLossLimit\". Omit for every field we hold for this firm."
}
},
"required": [
"slug"
]
}🟢find_firms(assetClass, maxActivationFee, maxResetFee, maxConsistencyPct, maxDailyLossLimit, ...)
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 the answer.
Input Schema
{
"type": "object",
"properties": {
"assetClass": {
"type": "string",
"enum": [
"forex",
"futures",
"crypto"
],
"description": "Firms recorded as offering this. 21 of 71 records name no asset class and are returned as unknown."
},
"maxActivationFee": {
"type": "number",
"description": "Activation fee at or below this. 42 of 71 record no fee."
},
"maxResetFee": {
"type": "number",
"description": "Reset fee at or below this. 56 of 71 record no fee."
},
"maxConsistencyPct": {
"type": "number",
"description": "Consistency rule at or below this. 28 of 71 record none."
},
"maxDailyLossLimit": {
"type": "number",
"description": "Daily loss limit at or below this, in the unit dailyLossLimitUnit names. 31 of 71 record none."
},
"dailyLossLimitUnit": {
"type": "string",
"enum": [
"percent",
"usd"
],
"description": "The unit maxDailyLossLimit is in. Daily loss limits are recorded in percent at some firms and in dollars at others, and the two are never compared: a firm recorded in the other unit is returned under unknown with its unit named."
},
"maxMinTradingDays": {
"type": "number",
"description": "Minimum trading days at or below this. 16 of 71 record none."
},
"maxMinDaysToPayout": {
"type": "number",
"description": "Minimum days to first payout at or below this, counted as minDaysToPayoutUnit names. 26 of 71 record none."
},
"minDaysToPayoutUnit": {
"type": "string",
"enum": [
"calendar_days",
"trading_days",
"winning_days"
],
"description": "What maxMinDaysToPayout counts: calendar_days, trading_days or winning_days. A wait is compared only with waits counted the same way; a firm counting another way, or stating no unit, is returned under unknown with what it counts named."
},
"minDaysToPayoutMinProfit": {
"type": "number",
"description": "With winning_days only: the profit a day must reach to count. A firm whose winning days carry a different profit bar is returned under unknown."
}
}
}⚪compare_firms(a, b)
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 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.
Input Schema
{
"type": "object",
"properties": {
"a": {
"type": "string",
"description": "First firm slug."
},
"b": {
"type": "string",
"description": "Second firm slug."
}
},
"required": [
"a",
"b"
]
}🟢list_firms
Every firm slug and name. Carries no figures, so nothing here needs evidence.
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence