AskMarcel HVAC Technical Knowledge
io.github.askmarcel由 GitHub 账号 askmarcel 发布v1.3.1-beta.1更新于 Oct 24, 2026
15 HVAC MCP tools: lookups, SKU provenance, guided PAC, Beta Harness sessions. 126 brands.
概览
远程 MCP 服务器,为助手提供厂商来源的暖通空调技术文档:故障码、操作流程、产品规格表与带引用的诊断。
- 可以做什么
- 按品牌、型号或故障码过滤,对技术文档做语义检索,并按片段 ID 获取完整操作流程,还可取得指向具体 PDF 页面的限时签名链接以便核对。按品牌与型号确定性地查询故障码,并获取含规格、组成和常见故障的产品规格表。将品牌与型号解析为规范 SKU,并查看是否有精确手册、故障码覆盖等文档覆盖标记。根据症状或故障码执行一次性有来源诊断,另有严格 SKU 版本,在没有精确型号手册时明确弃答。对空气-水热泵进行多轮引导式排障,或开启有状态的测试版诊断会话,记录观察、测量与技师判断并导出摘要。
- 适用场景
- 适合助手需要回答暖通现场问题(冷媒充注量、故障码含义、接线、故障树),且答案必须引用具体厂商手册与页码而非猜测的场景。适用于面向欧洲暖通市场的技师、客服机器人与智能体,支持法语和英语。
- 运行要求
- 远程 Streamable HTTP 端点,无需安装或自托管。必须认证:使用 Bearer Authorization 头传递 API 密钥,或使用带 PKCE 与动态客户端注册的 OAuth 2.0。API 密钥需在开发者门户创建;免费开发者套餐每月 250 次调用。需要能访问该托管端点的网络。
安装
在 SourceWeft 中
- 打开 控制台中的 AskMarcel HVAC Technical Knowledge,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.askmarcel%2Fmcphvac/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"askmarcel-hvac-technical-knowledge": {
"type": "http",
"url": "https://mcp.askmarcel.app/"
}
}
}README
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.
[MCP Registry] [smithery badge] [Transport] [Auth] [License]
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
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)
Beta — Harness session (5)
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:
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:
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):
- API key (Bearer):
Authorization: Bearer YOUR_API_KEY - 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 https://app.askmarcel.app/developers, puis utilisez une des configs du dossier examples/ (Claude Desktop, Cursor, VS Code). Remplacez YOUR_API_KEY par votre clé.
MCP vs Chat API : ce dépôt documente le serveur MCP (JSON-RPC sur mcp.askmarcel.app). Le chat web/mobile utilise une API distincte (SSE AI SDK v5 sur /api/chat) — les deux protocoles ne sont pas interchangeables.
Détails des outils : docs/tools.md · Authentification : docs/authentication.md.
来源:README.md,提交 df97f1c
工具
0版本历史
1- v1.3.1-beta.1最新Sep 16, 2026
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