IoMarkets.ai guide
Guide to IoMarkets.ai Federated Computing: receipt checks, runs, costs and evaluation requests.
我该使用它吗
质量与安全性
发现（1）
- LOWTool 'get_overview' description lacks action verb在 get_overview 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"iomarkets-ai": {
"url": "https://iomarkets.ai/mcp"
}
}
}远程端点
https://iomarkets.ai/mcpstreamable-http它能做什么
工具清单
工具（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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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).
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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
}社区
证据