ECCA
Compare engine claims, inspect dissent and check study evidence for student questions.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"ecca": {
"url": "https://eccaai.com/api/mcp"
}
}
}Remote-Endpunkte
https://eccaai.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"maxLength": 2000
}
},
"required": [
"question"
],
"additionalProperties": false
}Community
Nachweis