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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

AskMarcel HVAC Technical Knowledge

作者:askmarcel版本 1.3.1-beta.1i★ –i在云端运行
注册名称io.github.askmarcel/mcphvac

安装

概览

作者提供的说明(英文原文)

15 HVAC MCP tools: lookups, SKU provenance, guided PAC, Beta Harness sessions. 126 brands.

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.askmarcel.app

在终端中运行这条命令

claude mcp add --transport http mcphvac https://mcp.askmarcel.app

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": {
    "mcphvac": {
      "url": "https://mcp.askmarcel.app"
    }
  }
}

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": {
    "mcphvac": {
      "type": "http",
      "url": "https://mcp.askmarcel.app"
    }
  }
}

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.askmarcel.app

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 askmarcel 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 7249 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7249 个服务器的 34% 更新
  • 基础检查结果等于或优于此分类中其他 7249 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

AskMarcel HVAC Technical Knowledge 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(1.3.1-beta.1)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★ 64,224MIT今天更新
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★ 5,213MIT上个月更新
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。

AskMarcel — HVAC Technical Knowledge MCP Server

Manufacturer-sourced HVAC technical documentation for AI agents: search, diagnostics, error codes, procedures and product sheets across 126 brands and 905 models .

AskMarcel is a remote, hosted MCP server (Streamable HTTP). There is nothing to install or self-host — point your MCP client at the endpoint and authenticate. The server connects AI agents to real manufacturer documentation so answers cite the exact manual and page number instead of hallucinating.

  • Endpoint: https://mcp.askmarcel.app
  • Registry name: io.github.askmarcel/mcphvac
  • Manifest: 1.3.1-beta.1 — 15 tools live in production
  • Docs & API key: https://app.askmarcel.app/developers
  • Reference: https://app.askmarcel.app/developers/reference
  • Marcel Inside (B2B API / MCP): https://askmarcel.app/fr/connecteurs
  • Free Developer tier: 250 API calls / month

Marcel Inside — branch it behind your bot

Use AskMarcel as Marcel Inside: plug manufacturer-sourced HVAC knowledge behind your existing chatbot, voicebot, or agent — without rebuilding your stack. Compatible with ManyChat, ElevenLabs, Voiceflow, Intercom, Claude, ChatGPT, Gemini, and custom MCP clients.

  • Sales & pilot: https://askmarcel.app/fr/connecteurs (490€ pilot, Business 149€/mois HT)
  • Developer sandbox: free tier — 250 calls/month at https://app.askmarcel.app/developers

Why AskMarcel

General-purpose LLMs guess at HVAC specifics — refrigerant charge, error-code meanings, wiring, fault trees. AskMarcel grounds every response in indexed manufacturer PDFs and returns the source page, so a field technician or an agent can trust and verify the answer. See HVAC-Bench for measured accuracy vs. raw LLM output.

  • 126 brands · 905 models · 400,000+ error codes indexed
  • Deterministic error-code lookup (not a guess)
  • Strict SKU provenance (resolve_model, get_model_coverage, diagnose_v2) — no family substitution
  • Sourced one-shot lookups (diagnose) and multi-turn guided troubleshooting for air-to-water heat pumps (diagnose_guided)
  • LIVE Beta Harness sessions — stateful diagnostic loop with manufacturer DB lookup at session start (start_diagnostic … get_diagnostic_summary)
  • FR / EN, focused on the European HVAC/RACH market
Harness session vs diagnose_guided
SurfaceUse whenQuota
Harness session (start_diagnostic …)Multi-turn field diagnostic on PAC Air/Eau or PAC Air/Air with hypotheses, discriminating next_action, technician journalOnce at session creation
`diagnose_guided`Legacy guided loop for PAC Air/Eau only — server-sealed state via continuationPer turn
`diagnose_v2`One-shot strict SKU lookupPer successful call
`diagnose`One-shot lookup without SKU gatePer successful call

Harness Beta is live in production (DIAGNOSTIC_SESSIONS_PUBLIC=true). At start_diagnostic, the server looks up error codes in technical_error_codes (manufacturer DB) and journals the result — not only pack fallback maps. Active packs: pac_air_eau and pac_air_air at `0.0.1` (mutable during Beta).


Tools

The server exposes 15 tools (10 GA + 5 Beta Harness session). Full reference in docs/tools.md.

GA (10)
ToolWhat it does
search_technical_docsSemantic search over technical documentation (≤10 excerpts). Filter by brand, model, error_code.
get_procedureRetrieve a full procedure by chunk_id.
get_error_codeDeterministic lookup by brand + error_code (optional model).
get_product_sheetProduct sheet: specs, composition, frequent error codes, by brand + model.
get_pdf_page_snapshotSigned, 5-minute URL to a specific PDF page (document_id + page).
diagnoseOne-shot sourced lookup from a symptom or error code (excerpt + steps + citation).
diagnose_v2Same lookup with strict SKU provenance. Abstains (diagnostic: null) if no approved exact-model manual exists.
resolve_modelResolve brand + model to a canonical SKU. Exact or alias only — never a series LIKE.
get_model_coverageDocumentary flags for a resolved SKU: exact_manual, error_code_covered, market_verified.
diagnose_guidedMulti-turn guided troubleshooting for air-to-water heat pumps (legacy; quota per turn).
Beta — Harness session (5)
ToolWhat it does
start_diagnosticOpen a stateful Harness session. Manufacturer error-code lookup at start. Quota on creation.
get_diagnosticRead current session projection (hypotheses, next_action, fault code).
respond_to_diagnosticAppend typed observation, measurement, or technician assessment.
close_diagnosticClose session with optional reason (verification not required).
get_diagnostic_summaryDeterministic exportable summary from the session journal.

Stability: beta · release_channel: beta on responses · qualified HVAC professional required.


Quick start

1. Get an API key

Create a free key at https://app.askmarcel.app/developers (250 calls/month on the Developer tier). The server also supports OAuth 2.0 (PKCE + Dynamic Client Registration) for clients that discover auth automatically.

2. Connect your MCP client

Ready-to-use configs live in examples/. The general form for any Streamable HTTP MCP client:

{

"mcpServers": { "askmarcel": { "type": "streamable-http", "url": "https://mcp.askmarcel.app", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }

Claude Desktop / Cursor / VS Code: see the matching file in examples/. Replace YOUR_API_KEY with your key.

3. Ask a question

Once connected, prompt naturally, e.g.:

"Daikin Altherma showing error U4 — what does it mean and how do I clear it?"

The agent calls resolve_model / diagnose_v2 (or get_error_code / diagnose) and returns the cause, the fix steps, and the source manual page — or an explicit abstention when no exact manual exists.

For a full field diagnostic loop on a heat pump, use start_diagnostic → respond_to_diagnostic → close_diagnostic (see skill hvac-harnais-session).


MCP vs Chat API

AskMarcel exposes two separate integration surfaces — do not mix their protocols:

SurfaceEndpointProtocolUse case
MCP server (this repo)https://mcp.askmarcel.appJSON-RPC Streamable HTTP (tools/call)Connect Claude, Cursor, VS Code, or any MCP client to HVAC tools
Chat API (web / mobile / extension)https://app.askmarcel.app/api/chatAI SDK v5 SSE (UIMessageStream)Full conversational UI with streaming, tools, and document blocks

The MCP server does not use the AI SDK chat stream (text-delta, data-* parts). If you build a custom agent with the Vercel AI SDK, use MCP tools via JSON-RPC — not the web chat endpoint.


Authentication

Two supported methods (details in docs/authentication.md):

  1. API key (Bearer): Authorization: Bearer YOUR_API_KEY
  2. OAuth 2.0: discovery via https://mcp.askmarcel.app/.well-known/oauth-protected-resource

Claude Skills

The skills/ folder contains ready-to-use Agent Skills that wrap these tools into HVAC workflows:

  • hvac-error-lookup — turn a brand + error code into a sourced explanation and fix.
  • hvac-diagnostic — one-shot symptom lookup with citations (diagnose).
  • hvac-guided-diagnosis — multi-turn guided troubleshooting for air-to-water heat pumps (diagnose_guided).
  • hvac-harnais-session — Beta Harness session loop (start_diagnostic … close_diagnostic).

REST API SDK

For custom agents that call the REST API directly (not MCP), use the npm package @askmarcel/sdk — includes Harness session methods (startDiagnosticSession, respondToDiagnosticSession, …), guidedTurn() for POST /v1/diagnostic/turn, plus resolveModel() / getModelCoverage() / V2 diagnose.


Links

  • MCP endpoint — https://mcp.askmarcel.app
  • Developer portal & API key — https://app.askmarcel.app/developers
  • API reference — https://app.askmarcel.app/developers/reference
  • Marcel Inside (B2B) — https://askmarcel.app/fr/connecteurs
  • Templates — https://app.askmarcel.app/templates
  • Official MCP Registry — io.github.askmarcel/mcphvac
  • Website — https://askmarcel.app

License

Code and content in this repository (documentation, examples, skills) are released under the MIT License. The AskMarcel hosted service and its underlying data are proprietary and governed by the AskMarcel terms.


🇫🇷 En français

AskMarcel est un serveur MCP distant et hébergé (Streamable HTTP) qui connecte les agents IA à la documentation technique HVAC/RACH sourcée constructeur. Rien à installer : on pointe son client MCP sur l'endpoint et on s'authentifie. Chaque réponse cite le manuel et la page exacte plutôt que d'halluciner.

  • Endpoint : https://mcp.askmarcel.app
  • Nom registre : io.github.askmarcel/mcphvac
  • Manifeste : 1.3.1-beta.1 — 15 outils en production
  • Doc & clé API : https://app.askmarcel.app/developers
  • Marcel Inside (B2B) : https://askmarcel.app/fr/connecteurs
  • Tier Developer gratuit : 250 appels / mois
  • Couverture : 126 marques · 905 modèles · 400 000+ codes erreur indexés

Marcel Inside — branchez la base AskMarcel derrière votre chatbot, voicebot ou agent existant. Pilote 490€ · Business 149€/mois HT · tier Developer gratuit pour tester.

15 outils : 10 GA (search_technical_docs, get_procedure, get_error_code, get_product_sheet, get_pdf_page_snapshot, diagnose, diagnose_v2, resolve_model, get_model_coverage, diagnose_guided) + 5 session Harnais Beta (start_diagnostic, get_diagnostic, respond_to_diagnostic, close_diagnostic, get_diagnostic_summary).

Harnais Beta LIVE : lookup DB fabricant (technical_error_codes) au start_diagnostic, packs pac_air_eau / pac_air_air `0.0.1`, quota à la création de session seulement. Distinct de diagnose_guided (guidé legacy PAC Air/Eau, quota par tour).

Skills : lookup code erreur, diagnostic one-shot, guidé PAC, session Harnais — voir skills/.

SDK REST (npm) : @askmarcel/sdk — sessions Harnais + guidedTurn() + API v2.

Connexion rapide : créez une clé sur htt

只显示了开头部分;其余内容请在仓库中阅读

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