"A guide for creating a digital twin of your home" matching MCP servers:

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Enables natural language control of a digital twin simulation pipeline for phone drop tests, converting LS-DYNA .k meshes to solid .k files with hand grip poses using 7 MCP tools.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Enables an AI to build, inspect, test, and render logic circuits as .dig files, then open them in the Digital app.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

A starter MCP server for running local tools and resources on a home machine or NAS, enabling secure access from AI assistants like Kody.

Enables AI agents to verify that test suites catch real bugs by planting deliberate bugs, running the tests, and reporting any survivors as untested behavior.

Exposes a robot twin's catalog as LLM tools, enabling agents to query variables, run robot operations, and own task boundaries through begin_task and end_task.

Supply chain risk scoring for npm, PyPI, and GitHub repos

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Enables searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

A local MCP server that bridges Claude Desktop to your WordPress site via the WordPress MCP Adapter. It dynamically discovers and proxies all tools, resources, and prompts registered through the WordPress Abilities API.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

A dynamic MCP server that hot-reloads tools at runtime and provides URL tracking, onboarding, and scouting features for AI clients.

Provides a set of everyday utility tools via MCP, including greetings, calculations, time, UUID generation, secure passwords, BMI/age calculation, and unit conversion.

Enables AI assistants and MCP-enabled clients to discover and call application capabilities exposed as structured, schema-defined tools, with input validation, error handling, and API/database integration. It also ships a sample client that demonstrates secure tool execution and seamless AI-agent interoperability.

Open-source AI governance toolkit. MCP servers & CLIs for scanning, auditing, and managing your AI environment

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

Enables checking project files like Dockerfile, .nvmrc, and CI workflows to determine whether pinned runtime, database, and OS versions are still supported, providing end-of-life dates, latest patches, and upgrade targets for 470+ products.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.

A multi-agent orchestration system that enables multiple Claude instances to collaborate through a centralized hub with a shared workspace and real-time communication. It features integrated task management, role assignment, and persistent memory to facilitate complex, synchronized agent workflows.

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

Implements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.