"Construction cost estimate information" matching MCP servers:

Enables recording estimates, slices, intervals, and absences for work efforts, and later analyzing them to calibrate estimation accuracy by comparing initial and final estimates against actual wall time, while hiding duration data during estimation to keep estimates unbiased.

Provides construction cost estimation tools using data from a public Google Sheet for items like concrete, framing, and electrical. It allows users to search items, filter by category, and calculate total project costs including labor and material expenses.

Read-only MCP server exposing the Construction Intelligence Platform's project discovery interface via search_projects and fetch_project tools, returning Pydantic business objects from the ci_market_state DuckDB table without requiring SQL.

Enables Claude Desktop to detect construction site hazards from photos, analyze incident PDFs, search similar accident cases, and generate bilingual safety reports with citations.

Provides read-only MCP tools to query building construction approval lifecycle data, covering project discovery, bidding, contracts, drawing review, permits, and completion records.

Enables AI agents to query live construction project data such as RFIs, submittals, budget variance, daily logs, punch lists, and inspection checklists.

Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.

Provides construction-supervision tools for small-to-medium building projects, including stage guidance, inspection checklists, progress tracking, next-stage recommendations, and quotation analysis. It enables local, standards-based MCP interaction over stdio without third-party MCP SDKs.

Enables users to look up reference information for construction materials, including price ranges and aliases, for small projects in Guatemala through a remote MCP endpoint.

Enables querying AWS Cost and Usage Report data via Amazon Athena for cost-effective and detailed cost analysis.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Provides read-only visibility into Snowflake warehouse cost and query performance, including credit usage by warehouse, expensive queries, and heuristic right-sizing recommendations.

Token-cost telemetry for OpenClaw, queryable from Claude or any MCP-aware agent. Provides per-agent and per-provider cost attribution, anomaly detection, model-routing recommendations, and 30-day forecasts.

Enables ISO 19650 and UK BIM Level 2 compliance for construction projects, validating EIR, BEP, MIDP, TIDP, and CDE structures.

Multi-tenant LLM cost attribution for chargeback billing.

Read-only AWS cost diagnostic server that enables AI agents to detect idle resources and orphaned assets, surfacing potential savings via boto3 describe calls.

AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service/account/tag, pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. Curated by Archimedes Market with a verified Trust Report.

Enables analysis of AWS costs and usage through the AWS Cost Explorer API, supporting multi-account architectures with role assumption and cost comparison, forecasting, and anomaly detection.

Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.

Lets a local Claude Code session drive a visible browser paint editor through four tools — viewing a canvas screenshot, laying down a single brush stroke with real color/size controls, undo/redo, and exporting the finished PNG — so the model can draw an uploaded reference portrait stroke by stroke. Supports optional recording and run-limit settings for comparing drawing quality, timing and CLI cost between a standard and a cost-controlled setup.