RemodelerIQ Bid Analysis Tools
Check if a contractor's remodeling bid is fair — analyze a quote (fairness score + red flags), get 2026 cost estimates by city, and…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 60 of 226
Check if a contractor's remodeling bid is fair — analyze a quote (fairness score + red flags), get 2026 cost estimates by city, and…
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do. Stunt Double deploys AI agents with realistic…
Lightweight MCP server for AI content detection — returns a naturalness score and flagged AI-template patterns with humanizing hints.
## What it does Give your AI assistant a voice — locally, with no API key and no cloud calls. **supertonic3-mcp** wraps Supertonic 3…
Keyless open data for 84 German cities: 12 lean read-only MCP tools covering 64 data types (weather, air quality, public transit with live delays…
## Overview Nova3D is an MCP server for structured, part-aware 3D generation. Unlike diffusion-style 3D tools that return a fused mesh blob, Nova3D generates…
Macos-MCP is a lightweight, open‑source Model Context Protocol server that bridges AI agents and the macOS operating system.
Find Tender in the WTO-GPA Zone (Currently 35 Countries from USA and EUROPE to Australia) in Real Time. Ground your AI while working on…
Well MCP Server: what it does, available tools and how to connect it to your AI client. 27 tools, with
osk-calculators exposes a large catalog of precision calculators as MCP tools. Tools: - search_calculators(query) — find calculators by topic - get_calculator(name) — get input…
It is a sovereign compliance engine that connects AI assistants directly to a hardened security attestation framework.
# mcp-server-polarion A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for **Polarion ALM**. Lets AI assistants read documents, work items, and traceability links — and create…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.