原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

InferIndex

作者:InferIndex版本 1.0.0i★ –i在云端运行
注册名称io.github.InferIndex/inferindex

安装

概览

作者提供的说明(英文原文)

LLM API prices across 70+ providers: cheapest offer, comparisons, history and cost estimates.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.inferindex.dev/mcp

在终端中运行这条命令

claude mcp add --transport http inferindex https://mcp.inferindex.dev/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "inferindex": {
      "url": "https://mcp.inferindex.dev/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "inferindex": {
      "type": "http",
      "url": "https://mcp.inferindex.dev/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.inferindex.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 InferIndex 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7241 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7241 个服务器的 44% 更新
  • 基础检查结果等于或优于此分类中其他 7241 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

InferIndex 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

InferIndex

InferIndex finds the cheapest provider for a given LLM, across more than 60 tracked pricing sources — direct provider APIs and aggregators/routers — with price history and promotion detection.

Live API: https://api.inferindex.dev

Service status: https://status.inferindex.dev (external uptime monitoring)

This repository holds the public documentation, examples and (eventually) a client SDK for that API. The backend itself — collection, parsers, data model — lives in a separate private repository.

curl "https://api.inferindex.dev/cheapest?model=deepseek/deepseek-v3.2"

_Example response as of 2026-10-07 — prices, providers and statuses change._

{

"query": "deepseek/deepseek-v3.2", "model": { "id": "deepseek/deepseek-v3.2", "name": "DeepSeek: DeepSeek V3.2" }, "other_matches": [], "sort": "blended", "cheapest": { "provider": "GMICloud", "via": "openrouter", "via_name": "OpenRouter", "offer_url": "https://openrouter.ai/models", "offer_url_kind": "pricing", "tier": "standard", "input_per_1M": 0.2088, "output_per_1M": 0.3096, "cache_read_per_1M": 0.0216, "blended_per_1M": 0.234, "currency": "USD", "quantization": "fp8", "quantization_source": "declared", "context_length": 163840, "promo": true, "also_via": [ "kilo" ], "unverified": [] }, "offers": [ { "provider": "GMICloud", "via": "openrouter", "via_name": "OpenRouter", "blended_per_1M": 0.234, "…": "…" }, { "provider": "Nous Portal", "via": "nous", "via_name": "Nous Portal", "blended_per_1M": 0.234, "…": "…" } ], "hidden_tiers": { "flex": 1 }, "filters_unknown": {}, "strict": false }

Prices are in USD per million tokens, converted at the day's ECB rate when the source publishes another currency. blended_per_1M is (3 × input + output) / 4, a rough proxy for a typical chat workload. Each offer appears once, at its cheapest source: via is "direct" or the aggregator it comes from, and also_via lists other sources selling the same offer. promo is false unless a promotion was detected, in which case confidence and price_before_promo are filled in.

Status

Early / actively developed. The API is public and free to use, without authentication, but there is no uptime guarantee, no versioned API contract yet, and endpoints or response shapes may change. If you build something on it, expect to adjust when they do. Feedback and issues are welcome.

Service status: https://status.inferindex.dev (external uptime monitoring). It shows current and past availability; it is not an uptime guarantee.

Why

Provider pricing pages disagree, change without notice, and rarely show what resellers actually charge for the same model. InferIndex collects prices from more than 60 sources, each read from its own listing on its own schedule (from hourly to daily depending on the source), stores every change, and answers "who is cheapest for model X right now" from that history — client requests never trigger a live call to a provider.

Data freshness and limits

  • Cache: successful responses carry Cache-Control: public, max-age=300 (5 minutes) (except /health/ready, never cached). On the custom domain, responses are additionally held in Cloudflare's edge cache for the same 5 minutes.
  • Collection frequency: most sources are polled hourly; a few (exchange rates, model catalog) once a day.
  • Rate limits: 60 requests per minute per IP on /cheapest, /history, /resellers, /self-host, /gpus and /gpu-rentals, counting only requests not answered from cache. An optional API key (x-api-key header) raises this to 300 requests per minute per key; free keys will be offered, self-service sign-up isn't available yet. An invalid key returns
  1. Over the limit, requests get 429. The MCP server has its own limits, see Use with AI assistants.
  • Cost estimate: add prompt_tokens, output_tokens, cached_ratio and requests_per_day to /cheapest or /resellers to get an estimated cost per request and per month for each offer, and sort=estimated_cost to rank by it. See docs/api.md.
  • Hidden tiers by default: degraded service tiers (flex, batch — lower priority, variable latency, in exchange for a lower price) are excluded from /cheapest and /resellers unless you ask for them with include_tiers=flex,batch. The number hidden is reported in hidden_tiers.

Reliability of the prices — read this before trusting a number

Data corrections are listed in the changelog.

InferIndex is a comparison tool, not a source of truth. Treat every price as "what our collector last saw", not as a guarantee of what you will be billed:

  • Prices come from public APIs and, for some sources, HTML pages parsed with source-specific code — a page redesign can silently break a parser until it's caught.
  • A price that looks unusually low may be a promotion, a misparsed unit, or a provider that hasn't updated its page yet. InferIndex applies guard rails (rejecting implausible prices, quarantining sudden jumps, flagging outliers against a second reference source) and reports detected promotions with a confidence level, but these are heuristics, not certainties.
  • Reseller aggregators can add their own margin. When a source's pricing model isn't fully understood, it is either excluded or flagged.
  • Always confirm the price on the provider's own page or dashboard before committing to real spend.

Endpoints

RouteWhat it does
GET /cheapest?model=deepseek/deepseek-v3.2Cheapest offer across all active sources, and every matching offer deduplicated and sorted
GET /resellers?model=deepseek/deepseek-v3.2Current prices across every reseller (direct and via aggregators), one line per source, paginated beyond 100 offers
GET /history?model=deepseek/deepseek-v3.2&days=30&granularity=dayPrice history, paginated by cursor
GET /models?search=deepseekSearch tracked models
GET /gpusGPU types tracked for rental prices, with the lowest price of each tier — see GPU rental prices
GET /gpu-rentals?gpu=h100-sxm-80gbRental offers for one GPU, one block per tier — see GPU rental prices
GET /self-host?model=qwen/qwen3-32b&tokens_per_day=50000000Is it cheaper to rent GPUs and run an open-weights model yourself, or to use the cheapest API offer? An estimate, hardware rental only — see how the answer is built
GET /trendingUp to 10 models currently getting attention, recomputed about every 6 hours
GET /index?series=marketWeekly market index, published every Monday since 2026-10-05 — see the methodology
GET /health/liveLiveness only: the service is up, no database access
GET /health/readyReadiness: data freshness and scheduler health, see below
/mcpMCP server for AI assistants, see Use with AI assistants
/cheapest filters
  • sort=blended\|input\|output — sort order (default blended)
  • min_context=100000 — minimum context window
  • quantization=fp8,bf16 — accepted quantizations
  • min_uptime=95 — minimum 30-minute uptime (%), as observed by an aggregator (not measured by InferIndex)
  • tools=true, json=true, vision=true — only offers declared to support tool calling, JSON output, image input
  • region=eu — only offers processed in that region (eu, us, cn, uk, ch, sg, id, my, vn, kr, jp, in, ca, au), per the providers' official documents
  • no_training=true — only offers whose providers state they don't train on prompts
  • no_waitlist=true — only providers whose signup is open to everyone
  • strict=true — also drop offers for which the filtered data is unknown (by default they're kept and flagged in unverified, counted in filters_unknown)
  • include_tiers=flex,batch — include degraded service tiers (excluded by default, see above)
  • explain=true — list every excluded offer with its reason codes (an explanation summary is always included)

Offers also carry conditions (data region, retention, training on prompts, and what it takes to open an account — each with its official source link), quantization_source (whether the compute precision is declared by the source or inferred), and, on /resellers, reliability from the providers' official status pages. See docs/api.md.

/history

granularity=raw returns one row per price change; day / week (weeks start Monday) return one point per period and per offer (provider, quantization, variant) with min, max and last price. Use days or from/to for a period, or at=2026-09-15 for the prices in force at a given moment. Prices are converted to USD at the ECB rate of the day of the price.

Model search (/models):

curl "https://api.inferindex.dev/models?search=deepseek"

_Example response as of 2026-09-15 — prices, providers and statuses change._

{

"count": 19, "models": [ { "id": "deepseek/deepseek-v3.2", "name": "DeepSeek: DeepSeek V3.2" }, { "id": "deepseek/deepseek-v4.1-flash", "name": "DeepSeek: DeepSeek V4.1 Flash" } ] }

/health/ready

_Example response as of 2026-09-15 — prices, providers and statuses change._

{

"ready": true, "status": "ok", "failures": [], "degraded": [], "warnings": ["2 price source(s) in error", "1 announcement source(s) in error"], "prices": { "current_offers": 5664, "latest_check_at": "2026-09-15T05:01:05.639Z", "latest_check_age_minutes": 1.5 }, "watcher": { "active_sources": 84, "errors": 1, "persistent_errors": 0, "latest_check_at": "2026-09-15T05:02:08.890Z", "latest_check_age_minutes": 0.4 }, "schedulers": { "active": 62, "ok": 62, "starting": 0, "late": 0, "not_started": 0 }, "source_errors": { "count": 1, "persistent": 0 }, "version": { "id": "…", "tag": "", "deployed_at": "…" }, "checked_at": "2026-09-15T05:02:34.383Z" }

status is ok, degraded (a non-critical part is having trouble — see the degraded array for which) or unavailable (no usable price data). HTTP 200 for ok/degraded, 503 for unavailable. Useful as an uptime-monitor target if you depend on this API.

Full route and parameter reference: docs/api.md.

Use with AI assistants (MCP)

InferIndex is also available as a remote MCP server, so an AI assistant can look up prices for you:

  • Endpoint: https://mcp.inferindex.dev/mcp (Streamable HTTP) (https://api.inferindex.dev/mcp also works, as an alias)
  • Listed in the official MCP Registry as io.github.InferIndex/inferindex.
  • Read-only, no authentication. An API key can be passed in the x-api-key header.
  • Limits: 120 requests per minute per IP on /mcp, at most 10 JSON-RPC messages per batch and 64 KB per request (otherwise 400 or 413 with JSON-RPC error -32600). Over the rate limit: 429 with JSON-RPC error -32000. Each tool call also counts toward the limit of the API route it uses (/cheapest, /resellers, /history, /self-host, /gpus, /gpu-rentals).
ToolWhat it does
search_models(query)Find the exact id of a model
cheapest(model, …)Cheapest offers, with the same filters as /cheapest (min_context, tools, json, vision, region, no_training, no_waitlist, strict, include_tiers), optional usage (prompt_tokens, output_tokens, cached_ratio, requests_per_day) and limit
compare_providers(model, sort, limit, …)Every offer, one line per provider, with usage conditions and reliability

| `price_history(model, days \| from +

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx