"Construction cost estimate information" matching MCP servers:

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.

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

A command-line interface and API that allows users to analyze and visualize AWS cloud spending data by enabling Claude to query AWS Cost Explorer through natural language conversations.

Analyzes AWS Athena query costs by comparing baseline vs spike periods, querying PostgreSQL, and extracting patterns from expensive queries.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

Provides LLM scoped, safe access to heavy equipment data, gating high-risk actions behind capability checks, supervisor sign-off, and human elicitation.

A comprehensive Model Context Protocol server that analyzes AWS costs and provides optimization recommendations by integrating with services like Cost Explorer, Cost Optimization Hub, and Trusted Advisor.

Lightweight TypeScript MCP server for Airtable base discovery, table/view queries, record CRUD, and validated filterByFormula construction.

Provides MCP tools to validate structured construction plan JSON and create projects in Primavera P6 Professional standalone SQLite databases, with automatic backup and rollback.

Enables searching for creators using JSONB facet filters over PostgreSQL, with a prompt skill documenting valid creator attributes and filter construction.

Enables cost optimization and financial operations for Google BigQuery through natural language interactions. Provides insights into BigQuery spending, usage patterns, and cost management recommendations.

Automatically routes natural language questions to RAG or Text2SQL paths to answer queries about virtual construction site data, supporting semantic search and structured aggregation.

Provides AI assistants with access to Taiwan's PCCES database for querying construction project items, standard resource codes, and decoding work item codes.

Enables AI agents to manage a local-first household inventory, recording receipt emails and maintaining a probabilistic estimate of stock levels. Provides tools to query stock, identify items to reorder, and correct ingestion errors, all without any cloud dependency.

A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.

Read-only MCP server that lets AI agents safely query SQLite, PostgreSQL, and MySQL/MariaDB. Enforces read-only transactions with column masking, row caps, query timeouts, EXPLAIN-based cost rejection, and rate limiting.

An MCP server for interacting with Treasure Data API, allowing users to retrieve database information and check server status through natural language queries.

Enables AI assistants to query a garage workshop database for live information on open jobs, vehicle history, parts availability, and bookings, and to append notes to job cards.

Enables querying package ecosystem data from ecosyste.ms, including package metadata, versions, security advisories, dependencies, and repository information across 40+ package registries with fast local SQLite lookups and API fallback.