inferenceindexer-mcp
AI inference pricing for agents: live and historical model prices, provider comparison.
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质量与安全性
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": {
"inferenceindexer-mcp": {
"command": "uvx",
"args": [
"inferenceindexer-mcp"
]
}
}
}可运行的软件包
0.1.1stdio远程端点
https://api.inferenceindexer.ai/mcpstreamable-http它能做什么
工具清单
工具（10）
⚪recommend_models(budget_max_usd_per_m, context_min, modality, zdr, eu_sovereign, ...)
Recommend the best-value AI models for given constraints, ranked with receipts. The core answer endpoint: give it constraints and it returns the top models ranked by Cost/IQ (quality-adjusted price, lower is better), each with a plain-English 'why', a hot-swap endpoint_config (provider base_url + native model id, ready to call), as-of timestamps, and runner-ups. Args: budget_max_usd_per_m: Max blended price $/M (optional). context_min: Minimum context window in tokens (optional). modality: 'text' (default), 'vision', or 'any'. zdr: Require zero-data-retention providers (optional). eu_sovereign: Require EU-sovereign providers (optional). reasoning: Filter reasoning models (null = any, true/false). limit: Max recommendations (1-20, default 5). Returns: ranked recommendations with endpoint_config and ranking evidence.
输入模式
{
"type": "object",
"properties": {
"budget_max_usd_per_m": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Budget Max Usd Per M"
},
"context_min": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Context Min"
},
"modality": {
"default": "text",
"title": "Modality",
"type": "string"
},
"zdr": {
"default": false,
"title": "Zdr",
"type": "boolean"
},
"eu_sovereign": {
"default": false,
"title": "Eu Sovereign",
"type": "boolean"
},
"reasoning": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Reasoning"
},
"limit": {
"default": 5,
"title": "Limit",
"type": "integer"
}
},
"title": "recommend_modelsArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "recommend_modelsDictOutput"
}🟢explain_model(model_id, history_days)
Get everything about one model in a single call: the full picture. Returns current pricing (input/output/blended, Cost/IQ, 24h/7d changes), a price-history summary with trend, all provider endpoints, the cheapest hand-verified endpoint with its native model id (for hot-swapping), privacy flags (ZDR/EU availability), and the AA intelligence score. Everything is as-of stamped. Args: model_id: Canonical model id, e.g. 'anthropic/claude-sonnet-5'. history_days: Price-history window (default 30, max 365). Returns: complete model profile with pricing, endpoints, privacy, quality.
输入模式
{
"type": "object",
"properties": {
"model_id": {
"title": "Model Id",
"type": "string"
},
"history_days": {
"default": 30,
"title": "History Days",
"type": "integer"
}
},
"required": [
"model_id"
],
"title": "explain_modelArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "explain_modelDictOutput"
}🟢search_models(query, tier, limit, sort)
Search and list AI inference models with current pricing. Args: query: Text search on model id/name (optional). tier: Filter by tier: frontier | standard | budget | micro | zdr | eu (optional). limit: Max results (1-100, default 25). sort: Sort key, e.g. 'blended' (price), 'sit' (SIT score) (optional). Returns: models with input/output/blended $/M pricing, provider, tier.
输入模式
{
"type": "object",
"properties": {
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
},
"tier": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tier"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
},
"sort": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sort"
}
},
"title": "search_modelsArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "search_modelsDictOutput"
}🟢get_model(model_id)
Get full detail + current pricing for one model by its id. Args: model_id: Canonical model id, e.g. 'openai/gpt-5.6' or 'anthropic/claude-sonnet-5'. Returns: pricing, tier, SIT score, quality-adjusted price (Cost/IQ).
输入模式
{
"type": "object",
"properties": {
"model_id": {
"title": "Model Id",
"type": "string"
}
},
"required": [
"model_id"
],
"title": "get_modelArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "get_modelDictOutput"
}🟢get_model_history(model_id, days)
Get HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; this returns the price over time (input, output, blended $/M), enabling trend analysis. Args: model_id: Canonical model id, e.g. 'openai/gpt-5.6'. days: History window in days (1-365, default 30; plan-dependent). Returns: historical price series for the model.
输入模式
{
"type": "object",
"properties": {
"model_id": {
"title": "Model Id",
"type": "string"
},
"days": {
"default": 30,
"title": "Days",
"type": "integer"
}
},
"required": [
"model_id"
],
"title": "get_model_historyArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "get_model_historyDictOutput"
}🟢list_providers
List all inference providers with model counts and price stats.
输入模式
{
"type": "object",
"properties": {},
"title": "list_providersArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "list_providersDictOutput"
}🟢get_provider(provider_name)
Get detail for one provider: models, tier breakdown, price range. Args: provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'. Returns: provider detail with model list and pricing.
输入模式
{
"type": "object",
"properties": {
"provider_name": {
"title": "Provider Name",
"type": "string"
}
},
"required": [
"provider_name"
],
"title": "get_providerArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "get_providerDictOutput"
}🟢get_composite_latest
Get the current SIT-Composite index value + per-tier breakdown. The SIT-Composite is a usage-weighted mean of the top-50 models by token volume, reflecting what developers actually pay for inference.
输入模式
{
"type": "object",
"properties": {},
"title": "get_composite_latestArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "get_composite_latestDictOutput"
}🟢get_composite_history(days)
Get SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index values.
输入模式
{
"type": "object",
"properties": {
"days": {
"default": 30,
"title": "Days",
"type": "integer"
}
},
"title": "get_composite_historyArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "get_composite_historyDictOutput"
}⚪compare_providers(model_id)
Compare the price of one model across the providers that host it. Args: model_id: Canonical model id, e.g. 'meta/muse-spark-1.1'. Returns: per-provider endpoints with pricing, showing where direct provider prices diverge (e.g. from OpenRouter's negotiated rate).
输入模式
{
"type": "object",
"properties": {
"model_id": {
"title": "Model Id",
"type": "string"
}
},
"required": [
"model_id"
],
"title": "compare_providersArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "compare_providersDictOutput"
}社区
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