AskMarcel HVAC Technical Knowledge
RemoteAbout AskMarcel HVAC Technical Knowledge
AskMarcel is a hosted MCP server for HVAC technicians and AI agents, providing manufacturer-sourced documentation across brands and models. Its tools support sourced lookups, SKU-specific diagnostics, and guided or stateful troubleshooting.
Key features
- 01Search technical documentation
- 02Look up error codes and procedures
- 03Resolve canonical product SKUs
- 04Cited diagnostic results
- 05Guided and stateful troubleshooting
- 06Retrieve product sheets and PDF pages
Use cases
- 01Checking an HVAC error code against its manufacturer source
- 02Finding diagnostic steps for a specific model
- 03Guiding a heat-pump fault investigation
- 04Reviewing product specifications and manual pages
MCP support
The remote MCP server exposes 15 HVAC documentation and diagnostic tools over Streamable HTTP. MCP clients authenticate with an API key or OAuth 2.0.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.askmarcel.appclaude mcp add --transport http askmarcel-mcphvac https://mcp.askmarcel.app{"mcpServers":{"askmarcel-mcphvac":{"type":"http","url":"https://mcp.askmarcel.app"}}}Open in Cursor{"servers":{"askmarcel-mcphvac":{"type":"http","url":"https://mcp.askmarcel.app"}}}Open in VS Code{"mcpServers":{"askmarcel-mcphvac":{"type":"http","url":"https://mcp.askmarcel.app"}}}{"mcpServers":{"askmarcel-mcphvac":{"serverUrl":"https://mcp.askmarcel.app"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project 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.
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
| Surface | Use when | Quota |
|---|---|---|
Harness session (start_diagnostic …) | Multi-turn field diagnostic on PAC Air/Eau or PAC Air/Air with hypotheses, discriminating next_action, technician journal | Once at session creation |
diagnose_guided | Legacy guided loop for PAC Air/Eau only — server-sealed state via continuation | Per turn |
diagnose_v2 | One-shot strict SKU lookup | Per successful call |
diagnose | One-shot lookup without SKU gate | Per 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)
| Tool | What it does |
|---|---|
search_technical_docs | Semantic search over technical documentation (≤10 excerpts). Filter by brand, model, error_code. |
get_procedure | Retrieve a full procedure by chunk_id. |
get_error_code | Deterministic lookup by brand + error_code (optional model). |
get_product_sheet | Product sheet: specs, composition, frequent error codes, by brand + model. |
get_pdf_page_snapshot | Signed, 5-minute URL to a specific PDF page (document_id + page). |
diagnose | One-shot sourced lookup from a symptom or error code (excerpt + steps + citation). |
diagnose_v2 | Same lookup with strict SKU provenance. Abstains (diagnostic: null) if no approved exact-model manual exists. |
resolve_model | Resolve brand + model to a canonical SKU. Exact or alias only — never a series LIKE. |
get_model_coverage | Documentary flags for a resolved SKU: exact_manual, error_code_covered, market_verified. |
diagnose_guided | Multi-turn guided troubleshooting for air-to-water heat pumps (legacy; quota per turn). |
Beta — Harness session (5)
| Tool | What it does |
|---|---|
start_diagnostic | Open a stateful Harness session. Manufacturer error-code lookup at start. Quota on creation. |
get_diagnostic | Read current session projection (hypotheses, next_action, fault code). |
respond_to_diagnostic | Append typed observation, measurement, or technician assessment. |
close_diagnostic | Close session with optional reason (verification not required). |
get_diagnostic_summary | Deterministic 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:
| Surface | Endpoint | Protocol | Use case |
|---|---|---|---|
| MCP server (this repo) | https://mcp.askmarcel.app | JSON-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/chat | AI 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):
- 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.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.