ECCA
Compare engine claims, inspect dissent and check study evidence for student questions.
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Calidad y seguridad
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": {
"ecca": {
"url": "https://eccaai.com/api/mcp"
}
}
}Puntos de conexión remotos
https://eccaai.com/api/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (11)
⚪ecca_synthesize(query, model, depth, antagonist)
Cross-examines inquiry across configured frontier engines to synthesize the verified single best answer with measured lexical consensus scoring.
Esquema de entrada
{
"type": "object",
"properties": {
"query": {
"type": "string",
"maxLength": 64000,
"description": "The core inquiry, hypothesis, or decision challenge to synthesize."
},
"model": {
"type": "string",
"enum": [
"axiom-vector",
"axiom-core",
"axiom-reasoner",
"axiom-omni",
"axiom-sovereign"
],
"default": "axiom-reasoner",
"description": "Label echoed in the result. Every value dispatches through the same registered engines; depth decides fast or multi-engine."
},
"depth": {
"type": "string",
"enum": [
"intuitive",
"executive",
"pioneer",
"fast",
"deep"
],
"default": "executive",
"description": "intuitive and fast route to one engine; executive, pioneer and deep route a multi-engine dispatch (free callers: two engines first, expanding on measured divergence, one deep solve per day). Any other value is refused."
},
"antagonist": {
"type": "boolean",
"default": false,
"description": "When true, forces one engine to act as adversarial red-team antagonist."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢ecca_pre_mortem(premise, horizonMonths)
Executes an adversarial pre-mortem identifying failure modes and early warning indicators using empirical argument verification.
Esquema de entrada
{
"type": "object",
"properties": {
"premise": {
"type": "string",
"maxLength": 64000,
"description": "The strategic plan, architecture, or business premise to stress-test."
},
"horizonMonths": {
"type": "integer",
"default": 18,
"description": "Time horizon in months to simulate forward failure modes."
}
},
"required": [
"premise"
],
"additionalProperties": false
}🟢ecca_decision_tournament(decisionContext, options)
Evaluates multi-option decision matrix using minimax regret and Pareto ranking over candidate pathways.
Esquema de entrada
{
"type": "object",
"properties": {
"decisionContext": {
"type": "string",
"maxLength": 32000,
"description": "Context of the decision to evaluate."
},
"options": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of discrete options or strategic pathways."
}
},
"required": [
"decisionContext",
"options"
],
"additionalProperties": false
}🟢ecca_bts_divergence(assertions)
Measures lexical and semantic divergence across candidate assertions to penalize sycophancy.
Esquema de entrada
{
"type": "object",
"properties": {
"assertions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Array of candidate assertions or claims to measure divergence for."
}
},
"required": [
"assertions"
],
"additionalProperties": false
}🟢ecca_refine(text)
Use one keyed tier-quota slot to sharpen rough student questions without adding facts; return detected niches and refinement chips. A closed engine ceiling falls back locally.
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string",
"minLength": 1,
"maxLength": 2000
}
},
"required": [
"text"
],
"additionalProperties": false
}🟢ecca_research(question, niche)
Use one keyed tier-quota slot and dispatch-ceiling reservation to fetch and grade studies from scholarly indexes; return fetched evidence and explicit gaps.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"niche": {
"type": "string",
"enum": [
"psychology",
"learning",
"nutrition",
"money"
]
}
},
"required": [
"question"
],
"additionalProperties": false
}🟢ecca_verify(question, candidate_answer)
Independently answer a question and compare the candidate against deterministic panel agreement. Show named dissent; spends one solve.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 8000
},
"candidate_answer": {
"type": "string",
"minLength": 1,
"maxLength": 8000
}
},
"required": [
"question",
"candidate_answer"
],
"additionalProperties": false
}🟢ecca_psychology(question)
Psychology research: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
}
},
"required": [
"question"
],
"additionalProperties": false
}🟢ecca_learning(question)
Learning and study skills: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
}
},
"required": [
"question"
],
"additionalProperties": false
}🟢ecca_nutrition(question)
Nutrition and supplements: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
}
},
"required": [
"question"
],
"additionalProperties": false
}🟢ecca_money(question)
Money and business: refine the question, fetch studies, and show named claims before the verdict. Applies evidence and claims checks; spends one solve.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
}
},
"required": [
"question"
],
"additionalProperties": false
}Comunidad
Evidencia