wm-mcp is an open-source CLI tool that lets users run a world model locally and expose it as an MCP server, enabling LLM agents to call it as a tool. Below are 27 other ai apps with similar functionality to wm-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Works With Agents MCP Server — 14 native tools for AI agent infrastructure. Facts, Pitfalls, Skills, Handoff Protocol, Blueprint Registry, Trust Scores, Identity Verification, SLA Validation, Compliance-as-Code.
MCPM is an open-source command-line tool that helps developers manage Model Context Protocol (MCP) servers. It offers features like server discovery, global installation, profile-based organization, and seamless integration with MCP clients, making it easier to configure and share AI agent servers.
workflow-generator-mcp is a Python CLI and MCP server that scans codebases to generate visual system architecture diagrams, estimate concurrency capacity, and identify bottlenecks. It is designed for developers needing automated architecture analysis and integrates with the Model Context Protocol.
ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.
miosa-mcp is an open-source MCP server that exposes MIOSA computer-use tools for integration with Claude Code and other agent frameworks. It provides a standardized API for agent developers to enable automation and computer control capabilities in their AI systems.
gms-mcp is an open-source CLI and MCP server toolset designed for GameMaker developers. It provides command-line utilities and server integration to streamline project management and automation tasks. Ideal for developers seeking to enhance their GameMaker workflow.
dlb-mcp is an open-source CLI tool and MCP server that allows independent agent sessions to leave notes for each other using dead-letter semantics. It is lightweight, requires no daemon, and is suitable for developers building agent-based or distributed systems.
mcp-pwsh provides a persistent, pooled PowerShell server that implements the Model Context Protocol (MCP) for agent and LLM integration. It supports clean stdin/stdout I/O, named sessions, and is designed for developers building automation or AI agent workflows requiring robust PowerShell execution. Licensed under GPLv2.
ml-trainer-mcp is an open-source MCP server that enables training and evaluation of machine learning models using MCP tools. It provides both CLI and API interfaces for ML engineers to automate and standardize their workflows.
WebMCP is an open source JavaScript library that allows web developers to add Model Context Protocol (MCP) integration to their websites. It provides a customizable widget for LLM or agent interaction, enabling advanced AI-driven features and tool registration on any web page.
lm-mcp is an open-source MCP server that integrates LogicMonitor platform APIs with external systems. It provides an API gateway for monitoring and automation, targeting DevOps engineers and system integrators.
llm-wiki-mcp is an open-source MCP server and Claude Code skills package for creating persistent markdown knowledge bases with LLMs. It enables agents to grow and manage wikis over time, supporting developers building LLM-powered documentation and knowledge systems.
linza-mcp is an open-source command-line tool that implements the Model Context Protocol (MCP) as a sidecar for agent workspaces. It enables local-first management, artifact export, and semantic search for AI agent developers and researchers, supporting structured context handling and interoperability.
A production-grade Model Context Protocol (MCP) server for Wireshark
tappy-mcp is an open-source command-line tool for discovering, configuring, running, inspecting, and monitoring Model Context Protocol (MCP) servers across AI clients. It provides infrastructure engineers and developers with essential tools to manage and monitor MCP-based AI deployments efficiently.
maa-mcp is an open-source MCP server based on MaaFramework, enabling automation of Android and Windows desktop tasks for AI assistants. It supports integration with OCR and various automation workflows for developers building AI-powered automation solutions.
MediaWiki MCP Server is an open-source Model Context Protocol server that allows AI tools and chatbots to interact directly with MediaWiki wikis. It supports reading, editing, and managing wiki content, making wikis accessible to AI applications.
contextl-mcp is an open-source MCP server designed for AI coding agents. It provides repository intelligence, code search, and integrates with the Model Context Protocol, allowing developers to build advanced AI-powered code tools. Distributed under the MIT license.
mcp-toolsmith is an open-source CLI utility for auditing and compiling Python tool schemas for use with LLM agents. It validates schemas against the Model Context Protocol, helping developers ensure compatibility and correctness before deployment.
MyMCP is a free, open-source application for macOS that enables users to discover, install, and manage Model Context Protocol (MCP) servers across various AI tools. It provides unified configuration, GitHub metadata enrichment, and quick access from the menubar, streamlining server management for developers and AI enthusiasts.
MCPfinder is an open-source tool that helps AI agents discover and configure Model Context Protocol (MCP) servers. It inspects trust signals, manages environment variables, and generates install-ready configurations, streamlining integration for developers building AI agents that interact with external tools and data sources.
ollmcp is an open-source command-line client for interacting with Ollama models using the Model Context Protocol (MCP). It simplifies model management and inference for developers working with Ollama.
mcp-mcts is an open-source CLI tool for local MCP security scanning, attack chain analysis, inventory management, and CI integration. It supports optional Semgrep and LLM analysis, making it suitable for security engineers and DevOps teams focused on codebase security.
imperal-mcp is an open-source MCP server that allows developers to build Imperal apps from any LLM or agent. It supports agent orchestration and integration via the Model Context Protocol, making it suitable for AI developers and agent framework builders.
gromacs-mcp is an open-source Model Context Protocol server that manages local GROMACS installations for building, solvating, ionizing, running, and analyzing molecular dynamics simulations. It is designed for computational chemistry researchers.
Debug live JVMs through JDWP — from any MCP-compatible agent
gwsadm-mcp is an open-source MCP server for Google Workspace security auditing, providing login audit, external sharing analysis, and daily security briefs. It is designed for enterprise IT administrators to monitor and secure Google Workspace environments.
