IoMarkets.ai guide
Guide to IoMarkets.ai Federated Computing: receipt checks, runs, costs and evaluation requests.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (1)
- LOWTool 'get_overview' description lacks action verbin get_overview
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": {
"iomarkets-ai": {
"url": "https://iomarkets.ai/mcp"
}
}
}Remote-Endpunkte
https://iomarkets.ai/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (7)
🟢get_overview
What IoMarkets.ai is and what is built: Federated Computing (private computing across organisations on confidential hardware), with the main pages and what is a demonstration.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_guide(task)
Step-by-step instructions, with the exact button names, for one task on iomarkets.ai. Without a task, lists the tasks.
Eingabe-Schema
{
"type": "object",
"properties": {
"task": {
"type": "string",
"enum": [
"look-around",
"runs",
"verify-receipt",
"audit-trail",
"request",
"review-pack",
"pilot",
"cost",
"own-assistant"
],
"description": "Which task. Leave out to list them all."
}
},
"additionalProperties": false
}🟢explain_term(term)
A plain-English meaning of a word used on the site: digital signature, invoice, Federated Computing, confidential hardware, attestation, receipt, AI agent, MCP. Without a word, lists them all.
Eingabe-Schema
{
"type": "object",
"properties": {
"term": {
"type": "string",
"description": "The word to explain."
}
},
"additionalProperties": false
}🟢list_runs
Every Federated Computing run done on confidential hardware, newest first: its id, what it showed and the hardware it ran on.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_run(id)
One Federated Computing run in detail: what it showed, the model and data, hardware, location, result, payment, and whether its receipt verifies (checked now, with the same code as the receipt checker).
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"enum": [
"sealed-tdx-gpu",
"sealed-tdx",
"gpu-llm-14b",
"gpu-llm-7b",
"gpu-llm",
"join-across-banks",
"federated-round",
"pilot-rehearsal",
"gpu-compute",
"three-banks",
"governed",
"intel-tdx",
"first-run"
],
"description": "The run id, from list_runs."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢estimate_cost(kind, runs, key_services, months)
What Federated Computing runs cost in confidential cloud time, at Google Cloud list prices, for the machines and run times the real runs used, plus key services. Same numbers as the cost estimator page. An estimate, not a quote.
Eingabe-Schema
{
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"tabular-cpu",
"tabular-tdx",
"gpu-small",
"gpu-llm-14b"
],
"description": "tabular-cpu (credit, fraud, risk models), tabular-tdx, gpu-small, or gpu-llm-14b."
},
"runs": {
"type": "number",
"description": "How many runs. Default 1."
},
"key_services": {
"type": "number",
"description": "Key services, one per data or model owner. Default 2."
},
"months": {
"type": "number",
"description": "Months the key services stay up. Default 3."
}
},
"required": [
"kind"
],
"additionalProperties": false
}🟢draft_evaluation_request(role, organisation, name, email, goal, ...)
Turn what someone wants to evaluate, in their own words, into a Federated Computing evaluation request. Returns the message and a link that opens it in their email app; nothing is sent for them, and they can also use the form. Ask for anything missing, one question at a time, before calling it.
Eingabe-Schema
{
"type": "object",
"properties": {
"role": {
"type": "string",
"enum": [
"Benchmark or data owner",
"Model owner",
"Model-risk or audit team",
"Cloud provider",
"Research or grant partner",
"Other"
],
"description": "Their role."
},
"organisation": {
"type": "string"
},
"name": {
"type": "string"
},
"email": {
"type": "string",
"description": "Where the reply should go."
},
"goal": {
"type": "string",
"description": "What they want to evaluate, in a sentence or two."
},
"assets": {
"type": "string",
"enum": [
"Tabular model or data",
"Text classifier",
"Large language model",
"Not sure yet"
],
"description": "The kind of model or data (optional)."
},
"constraints": {
"type": "string",
"description": "Regions, confidentiality, timing (optional)."
}
},
"required": [
"role",
"organisation",
"name",
"email",
"goal"
],
"additionalProperties": false
}Community
Nachweis