Renology Renovation Cost Data
LocalAbout Renology Renovation Cost Data
Renology Renovation Cost Data is a read-only MCP server for exploring the versioned 2026 city-level renovation cost dataset. It provides planning ranges with methodology, limitations, disclosure, and citation guidance; its bundled snapshot runs locally without network requests.
Key features
- 01List available markets and project types
- 02Retrieve city and project cost ranges
- 03Compare costs across cities
- 04Return methodology, limitations, and citations
- 05Use a bundled snapshot without network calls
Use cases
- 01Review a city's planning range for a project
- 02Compare the same project across cities
- 03Check dataset methodology and limitations
- 04Cite cost ranges in published material
MCP support
Exposes read-only tools for querying the bundled renovation cost dataset, including city ranges, comparisons, and methodology with citations. Tool calls use the local snapshot and make no network requests.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
docker run -i --rm ghcr.io/asafichaki/renology-cost-data-mcp:1.0.1Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
ghcr.io/asafichaki/renology-cost-data-mcp:1.0.1stdioTools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMERenology Renovation Cost Data MCP
Read-only Model Context Protocol server for the versioned Renology 2026 city-level renovation cost dataset.
Verified in the official MCP Registry as io.github.asafichaki/renology-cost-data.
It lets compatible AI assistants list available markets and project types, retrieve one city/project planning range, compare the same project across cities, and return methodology, limitations, commercial disclosure, and a canonical citation. Runtime is local and closed-world: the published snapshot is bundled and no network request is made when a tool is called.
Quick start
npx -y github:asafichaki/renology-cost-data-mcp
MCP client configuration:
{
"mcpServers": {
"renology-cost-data": {
"command": "npx",
"args": ["-y", "github:asafichaki/renology-cost-data-mcp"]
}
}
}
Public OCI image:
docker run --rm -i ghcr.io/asafichaki/renology-cost-data-mcp:1.0.1
The image is published for both linux/amd64 and linux/arm64 and carries the ownership annotation required by the official MCP Registry.
Tools
list_marketslist_project_typesget_city_cost_rangecompare_city_costsget_methodology_and_citation
All tools declare readOnlyHint: true, destructiveHint: false, idempotentHint: true, and openWorldHint: false.
Interpretation rules
- Values are 2026 total-project U.S. dollar planning ranges, not quotes, appraisals, guarantees, final prices, or predictions.
- Cite the year, city, project type, and complete low-to-high range.
- Check the canonical Renology Cost Index for updates before publication.
- Do not infer ROI, contractor quality, statistical representativeness, or project outcomes.
- Renology publishes renovation guidance and operates a contractor-matching service. This is publisher-maintained infrastructure, not independent validation.
Validate
npm ci
npm run check
docker build -t renology-cost-data-mcp .
Code is MIT licensed. Bundled data and documentation are CC BY 4.0; attribute Renology and link to the canonical Cost Index.
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.