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Glama
asafichaki

Renology Renovation Cost Data MCP

by asafichaki

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": true
}
resources
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_marketsA

List city and state markets available in Renology's versioned 2026 city-level renovation cost snapshot.

list_project_typesA

List project types available in the versioned city-level renovation cost snapshot.

get_city_cost_rangeA

Return a 2026 total-project planning range for one city and project type, with source, date, price basis, and caution. This is not a contractor quote.

compare_city_costsA

Compare the same 2026 project-type planning range across available cities. Results are planning benchmarks, sorted by low end, not quotes or contractor rankings.

get_methodology_and_citationA

Return provenance, dates, limitations, data and methodology URLs, license, commercial disclosure, and suggested citation.

Prompts

Interactive templates invoked by user choice

NameDescription
compare_renovation_costsCreate a careful comparison that preserves price basis, dates, caveats, and citation.

Resources

Contextual data attached and managed by the client

NameDescription
methodologyProvenance, limitations, disclosure, licensing, and citation guidance.
marketsAvailable cities and states in the 2026 snapshot.

TDQS

A4.3/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: listing markets, listing project types, getting a single cost range, comparing costs across cities, and retrieving methodology documentation. No overlap.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., list_markets, get_city_cost_range), with clear and descriptive names.

Tool Count5/5

Five tools is well-scoped for a renovation cost data server, covering essential operations without excess or deficiency.

Completeness4/5

The tool set covers the core workflow: discover markets, project types, get cost for one, compare across cities, and understand methodology. A minor gap might be cost breakdowns by category, but not essential for the server's stated purpose.

Maintenance

ActivityStale
ResponsivenessNo issues