ledgerfc
Grounded sports predictions plus European soccer and tennis arbitrage data for AI agents.
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Calidad y seguridad
Hallazgos (5)
- LOWTool 'get_arbs' description lacks action verben get_arbs
- LOWTool 'get_leaderboard' description lacks action verben get_leaderboard
- LOWTool 'place_bet' description lacks action verben place_bet
- LOWTool 'get_balance' description lacks action verben get_balance
- LOWTool 'get_bet' description lacks action verben get_bet
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"ledgerfc": {
"command": "npx",
"args": [
"@inbin/ledgerfc-mcp"
]
}
}
}Paquetes ejecutables
0.3.0stdioPuntos de conexión remotos
https://mcp.ledgerfc.com/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (13)
🟢get_track_record
Honest settled record + high-confidence subset + CLV.
Esquema de entrada
{
"type": "object",
"properties": {},
"required": [],
"additionalProperties": false
}🟢get_predictions(league, limit)
Upcoming predictions with probabilities and model-vs-market edge.
Esquema de entrada
{
"type": "object",
"properties": {
"league": {
"type": "string",
"description": "Filter to one league code, e.g. EPL."
},
"limit": {
"type": "integer",
"default": 10,
"description": "Max predictions to return."
}
},
"required": [],
"additionalProperties": false
}🟢get_arbs(api_key, within_seconds, live_rescan)
PRO: recently detected live arbitrage opportunities. Needs a Pro key, via an Authorization: Bearer header (preferred) or the api_key argument.
Esquema de entrada
{
"type": "object",
"properties": {
"api_key": {
"type": "string",
"description": "Optional Pro API key (get one with /key in the Ledger FC Telegram bot). Preferred instead: send it as an Authorization: Bearer header, so it never enters the conversation."
},
"within_seconds": {
"type": "integer",
"default": 180,
"description": "Look-back window in seconds. Default is tight because arbs die fast; widen only for a historical view."
},
"live_rescan": {
"type": "boolean",
"default": false,
"description": "If true, fetch fresh odds NOW and return current arbs (age ~0) instead of logged ones. Rate-limited (costs API credits). Falls back to logged arbs if unavailable."
}
},
"required": [],
"additionalProperties": false
}🟢get_value_bets(api_key)
PRO: upcoming picks with positive model-vs-market edge. Needs a Pro key, via an Authorization: Bearer header (preferred) or the api_key argument.
Esquema de entrada
{
"type": "object",
"properties": {
"api_key": {
"type": "string",
"description": "Optional Pro API key (get one with /key in the Ledger FC Telegram bot). Preferred instead: send it as an Authorization: Bearer header, so it never enters the conversation."
}
},
"required": [],
"additionalProperties": false
}🟢search(query)
Search upcoming match predictions. Returns {id,title,url} results; use fetch(id) for the full prediction.
Esquema de entrada
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Team or league to search upcoming predictions for."
}
},
"required": [],
"additionalProperties": false
}🟢fetch(id)
Fetch the full prediction document for a search result id.
Esquema de entrada
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "A result id from search, e.g. pred:123."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟡submit_prediction(contributor_id, match_id, p_home, p_draw, p_away)
Submit a prediction to be scored by CLV (shadow/points).
Esquema de entrada
{
"type": "object",
"properties": {
"contributor_id": {
"type": "string"
},
"match_id": {
"type": "integer"
},
"p_home": {
"type": "number"
},
"p_draw": {
"type": "number"
},
"p_away": {
"type": "number"
}
},
"required": [
"contributor_id",
"match_id",
"p_home",
"p_draw",
"p_away"
],
"additionalProperties": false
}🟢get_leaderboard
Contributors ranked by CLV (reputation points, not cash).
Esquema de entrada
{
"type": "object",
"properties": {},
"required": [],
"additionalProperties": false
}🟢get_contributor_score(contributor_id)
A contributor's CLV record.
Esquema de entrada
{
"type": "object",
"properties": {
"contributor_id": {
"type": "string"
}
},
"required": [
"contributor_id"
],
"additionalProperties": false
}⚪place_bet(agent_id, match_id, side, stake_points)
Place a paper bet against our agent's prediction (points only).
Esquema de entrada
{
"type": "object",
"properties": {
"agent_id": {
"type": "string"
},
"match_id": {
"type": "integer"
},
"side": {
"type": "string",
"enum": [
"H",
"D",
"A"
]
},
"stake_points": {
"type": "number",
"description": "Paper points to stake (min 1)."
}
},
"required": [
"agent_id",
"match_id",
"side",
"stake_points"
],
"additionalProperties": false
}🟢get_balance(agent_id)
Your paper-points balance (not cash).
Esquema de entrada
{
"type": "object",
"properties": {
"agent_id": {
"type": "string"
}
},
"required": [
"agent_id"
],
"additionalProperties": false
}🟢get_my_bets(agent_id)
Your paper bets, newest first.
Esquema de entrada
{
"type": "object",
"properties": {
"agent_id": {
"type": "string"
}
},
"required": [
"agent_id"
],
"additionalProperties": false
}🟢get_bet(bet_id)
One paper bet by id.
Esquema de entrada
{
"type": "object",
"properties": {
"bet_id": {
"type": "integer"
}
},
"required": [
"bet_id"
],
"additionalProperties": false
}Comunidad
Evidencia