TradesIndex Commercial Building Value MCP
Server Details
Read-only remote MCP server providing commercial building value index, metro trade labor costs, and construction economics benchmarks across 108 US metro areas.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
The three tools target distinct scopes: a single building scenario, a market/geographic aggregation, and dataset metadata. The two estimate_* tools could be momentarily confused because both return opportunity estimates, but their descriptions clearly distinguish building-level benchmarking from conditional market aggregation.
All tools use a consistent snake_case verb_noun pattern: estimate_building_opportunity, estimate_market_opportunity, and list_supported_trades. The convention is predictable and easy to scan.
Three tools are well-scoped for a read-only benchmark dataset: one for building-level estimates, one for market-level estimates, and one for supported-trade metadata. Each tool has a clear place, with no redundant endpoints.
The core estimate workflows are covered, along with trade/evidence limits, but there is no obvious way to discover supported building types, states, or metros before calling the estimate tools. That discovery gap could cause avoidable failed queries, though agents may work around it through trial and error.
Available Tools
3 toolsestimate_building_opportunityEstimate one building opportunityAInspect
Returns one scope-labeled property opportunity for a trade and building type within a named US state or metro. It is a benchmark scenario, not a quote.
| Name | Required | Description | Default |
|---|---|---|---|
| trade | Yes | Canonical trade key, such as hvac, electrical, plumbing, roofing, or cleaning. | |
| geography | Yes | State name, state FIPS, metro name, or metro GEOID. | |
| building_type | Yes | Canonical building segment, such as office, industrial, hospitality, healthcare, or multifamily. |
estimate_market_opportunityEstimate a state or metro opportunityBInspect
Returns a state or metro opportunity only when the canonical model permits aggregation. Conditional projects remain withheld rather than becoming zero.
| Name | Required | Description | Default |
|---|---|---|---|
| trade | Yes | Canonical trade key. | |
| geography | Yes | State name, state FIPS, metro name, or metro GEOID. |
list_supported_tradesList supported building-economics tradesBInspect
Lists the trades and evidence limits available from Level’s canonical building-opportunity dataset.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- First observed
estimate_building_opportunity - First observed
estimate_market_opportunity - First observed
list_supported_trades
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceRemote MCP server that lets AI assistants read tracked competitive intelligence — competitor news, reviews, website changes, social posts and ads — and act on it by managing projects, competitors, battle cards, reports and canvases. Every answer carries a source and a date, and write actions only publish when explicitly shared.MIT
- AlicenseCqualityCmaintenanceCompetitor Monitor AI - MCP server providing AI-powered tools and automation by MEOK AI Labs112 npm29 PyPIMIT
- AlicenseAqualityDmaintenanceEnables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.1623 npm1MIT

industrylens-mcpofficial
AlicenseNot gradedqualityCmaintenanceBrowse IndustryLens's published competitive-intelligence reports and head-to-head competitor comparisons from any AI agent — real, source-backed data.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.