race-mcp is an open-source command-line tool that enables local-first remote access, control, and data exchange using the MCP protocol. Below are 10 cli tools & terminal apps with similar functionality to race-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
MCP-X is a single-file gateway designed to facilitate multi-client access to tools across servers using the Model Context Protocol (MCP). It addresses the challenge of securely sharing tools between multiple clients while maintaining precise, per-tool access control. The gateway enables administrators to decide which clients can see and interact with specific tools, using configurable wildcard patterns for fine-grained permissions. The platform is implemented as a standalone Python file, allowing for straightforward deployment without the need for complex build processes or additional frameworks. Configuration is managed through a single TOML file, which defines clients, MCP servers, and access control policies. The system supports live configuration reloads, so changes to access permissions or client definitions take effect immediately without requiring a restart. MCP-X provides both a REST API and support for the standard MCP protocol. The REST API allows for dynamic client registration, server registration, and management of access control policies via HTTP endpoints. Clients authenticate using JWT tokens, which can be dynamically generated (with a one-hour expiry) or statically defined in the configuration. The gateway also exposes a /mcp endpoint for tool listing and invocation, adhering to the MCP protocol standard. This tool is suitable for environments where multiple users or systems need controlled access to distributed tools, such as development teams or organizations managing shared infrastructure. 0 license. Its development is attributed to contributors named stneng, littleround, and luke.
mcp-server-remote is an open-source Python package that implements a remote MCP server for serving MCP clients. It is designed for developers who require MCP protocol support in their applications and can be run via the command line.
ragebot-mcp is an open-source CLI tool that provides intelligent project context management and integrates with MCP servers. It supports code and context retrieval, RAG workflows, and is designed for developers seeking advanced CLI-based project tools.
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. It supports video models and is designed for AI researchers and developers.
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.
MCPM is an open-source command-line tool designed to manage Model Context Protocol (MCP) servers. It offers a range of features for discovering, installing, organizing, and sharing MCP servers, with a focus on global configuration and profile-based management. The tool enables users to search for MCP servers from a curated registry, install servers globally for use across environments, and organize servers into profiles to support different workflows. MCPM also provides seamless integration with MCP clients, allowing users to configure and connect servers to various client applications. Direct execution of servers for testing and debugging is supported through the command line, and the tool includes functionality for sharing servers securely using remote access tunnels. MCPM works with any MCP client by configuring servers to use its run command, and it specifically mentions compatibility with several AI assistants and coding agents, including Claude Desktop, Cursor, Windsurf, VSCode, Continue, Cline, Roo Code, OpenCode, Goose CLI, 5ire, Gemini CLI, Codex CLI, Qwen CLI, and Trae. Per-server enable and disable options are available for certain clients. The tool is delivered as a CLI application and can be installed using various methods, such as a shell script, Homebrew, pipx, or pip. MCPM is community-driven, open source, and distributed under the MIT License, with a commitment to being free to use. It is intended for developers and others who need to manage MCP servers efficiently across different clients and workflows.
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.
karellen-rr-mcp is an open-source MCP server designed to integrate with rr for reverse debugging. It enables developers to automate and enhance debugging workflows using the Model Context Protocol and GDB.
trackman-mcp is an open-source command-line MCP server that fetches and manages Trackman Golf statistics, including handicap, rounds, and practice data. It is designed for developers and golf data enthusiasts who need programmatic access to Trackman stats.
