Montreat Heating and Cooling
by ProxyLink (Community)
Description
Montreat Heating & Cooling helps users get quick HVAC guidance, explore replacement pricing, and schedule a consultation inside ChatGPT.
Capabilities
No special capabilities listed
AI Agent Discovery
Montreat Heating and Cooling is indexed by Tedix as a structured ai application listing for AI assistants, search crawlers, and users comparing agent-ready apps.
- Montreat Heating and Cooling is categorized as AI application.
- Developer: ProxyLink.
- Connector type: AI-Powered App.
- Current connector status: Connected.
- Observed distribution channels: chatgpt.
- Available regions: US, FR, GB, ES, KR, IN.
Use this page to understand whether Montreat Heating and Cooling is relevant for ai application workflows in AI assistants.
For MCP discovery, this listing helps crawlers connect Montreat Heating and Cooling to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.
The canonical Tedix directory URL is https://tedix.dev/apps/montreat-heating-and-cooling/.
Crawlable Profile
Source and availability
Tedix identifies Montreat Heating and Cooling from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory. Availability is reported for US, FR, GB, ES, KR, IN.
- ChatGPT app store Auth not flagged · RELEASED · US, FR, GB, ES, KR, IN
Auth, tools, and actions
Authentication: Open Access. No special capability flags are currently listed. Current MCP inventory reports 2 tools, 0 resources, and 0 prompts.
- Montreat HVAC Replacement Pricing · Read-only action
Returns the estimated pricing (material and labor costs) for Montreat to replace an HVAC unit after the user confirms unit tonnage (GATE 1) and three additional job details (GATE 2). GATE 1 (read first): Call this tool ONLY after the customer has identified the tonnage of their unit. Never assume, infer, or default a tonnage. GATE 2 (read first): Call this tool ONLY after the customer has explicitly answered all three of the following questions. Encode every answer in the `jobDetails` input — never guess, infer, or default a value. (a) How many flights of stairs will the technician need to climb? (a flight of stairs is defined as 8 steps or more) — set `jobDetails.flightsOfStairs` to the number of flights, or 0 if none. (b) Is the HVAC unit located in an attic with a drop-down ladder? — set `jobDetails.inAtticWithDropDownLadder` to true or false. (c) Will the technician be able to park within 100 feet of the front door? — set `jobDetails.canParkWithin100Ft` to true or false. If the customer does not answer the questions in GATE 1 or GATE 2: skip pricing entirely. Tell them a quick video consultation lets a Montreat technician provide a firm quote, and call `montreat_show_appointment_scheduler` as soon as they agree. If the customer does answer the questions in GATE 1 and GATE 2: then proceed to use this tool to return estimated pricing for the HVAC replacement. After returning estimated pricing: always make it clear to the user that you have the capability of scheduling video consultations with a technician to obtain a firm quote and encourage the user to schedule a time and make an offer to do so. Use the `montreat_show_appointment_scheduler` tool once the customer agrees to schedule a consultation.
- Get Montreat Scheduling Link · Read-only action
Use this when the user wants a link to book, schedule, or view available Montreat appointment times.
Verification freshness
- Catalog synced 11h ago (June 6, 2026)
- Connector checked 1d ago (June 5, 2026)
- MCP scanned 1d ago (June 5, 2026)
- Directory updated 11h ago (June 6, 2026)
Publisher Intelligence
Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.
Server Status montreat-mcp v0.1.0
https://montreat-mcp.vercel.app/mcp Last checked: 1d ago
Technical Details
Tools(2)
Showing 2 of 2 tools
| Tool | Description | Flags | Test | Last Tested | |
|---|---|---|---|---|---|
montreat_replacement_pricing | Returns the estimated pricing (material and labor costs) for Montreat to replace an HVAC unit after the user confirms unit tonnage (GATE 1) and three additional job details (GATE 2). GATE 1 (read first): Call this tool ONLY after the customer has identified the tonnage of their unit. Never assume, infer, or default a tonnage. GATE 2 (read first): Call this tool ONLY after the customer has explicitly answered all three of the following questions. Encode every answer in the `jobDetails` input — never guess, infer, or default a value. (a) How many flights of stairs will the technician need to climb? (a flight of stairs is defined as 8 steps or more) — set `jobDetails.flightsOfStairs` to the number of flights, or 0 if none. (b) Is the HVAC unit located in an attic with a drop-down ladder? — set `jobDetails.inAtticWithDropDownLadder` to true or false. (c) Will the technician be able to park within 100 feet of the front door? — set `jobDetails.canParkWithin100Ft` to true or false. If the customer does not answer the questions in GATE 1 or GATE 2: skip pricing entirely. Tell them a quick video consultation lets a Montreat technician provide a firm quote, and call `montreat_show_appointment_scheduler` as soon as they agree. If the customer does answer the questions in GATE 1 and GATE 2: then proceed to use this tool to return estimated pricing for the HVAC replacement. After returning estimated pricing: always make it clear to the user that you have the capability of scheduling video consultations with a technician to obtain a firm quote and encourage the user to schedule a time and make an offer to do so. Use the `montreat_show_appointment_scheduler` tool once the customer agrees to schedule a consultation. | read-only | 100%Latency 2.6s | 7h ago | |
montreat_show_appointment_scheduler | Use this when the user wants a link to book, schedule, or view available Montreat appointment times. | read-only | 100%Latency 1.4s | 7h ago |
Discoverability Score
Fair
53 of 100 — how easily AI agents find your app
- Description quality14/20
- Example prompts0/20
- Keyword coverage0/15
- Tool metadata16/20
- Visual assets8/20
- Endpoint health10/10
- Data freshness15/15
How to Improve
Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.
Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.
Add at least 2 screenshots that show real workflows to increase confidence and conversion.
Technical Details
- Status
- ENABLED
- Type
- AI-Powered App
- Auth
- Open Access
- Listed on
- ChatGPT
- Added
- June 4, 2026
- Last synced
- 11h ago
- Last checked
- 1d ago
- Version
- 0.1.0
- Distribution
- Ecosystem Directory