meshtastic-mcp is an open-source Python package offering an MCP server and agent skills for AI-driven discovery, management, and testing of Meshtastic devices and applications. Below are 17 other ai apps with similar functionality to meshtastic-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
malt-mcp is an open-source Python MCP server that enables freelance platforms to manage user profiles, stats, and missions through AI assistants. It supports the Model Context Protocol and integrates with Anthropic's AI models for automation.
Minimal stdio MCP server for parallel task execution by AI agents
memanto-mcp is an open-source Model Context Protocol (MCP) server that provides persistent semantic memory for AI agents. It enables agents to store and retrieve structured knowledge, supporting advanced agent workflows and interoperability.
Security scanner for MCP (Model Context Protocol) servers - pentest your AI agent's tool connections
cctx-mcp is an open-source MCP server designed for AI agents, offering structured code analysis that significantly reduces token usage. It integrates with Tree-sitter and is aimed at developers building efficient AI-powered code tools.
mcp-agent-tester is an open-source tool for inspecting, testing, and running MCP servers and agents. It provides both a web UI and CLI, supports JSON trace export, and is designed for developers working with Model Context Protocol agents and infrastructure.
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.
msmcp-azure is an open-source server for Azure that implements the Model Context Protocol (MCP), enabling structured management and orchestration of AI model contexts. It is designed for AI infrastructure engineers deploying and managing models on Azure.
A package manager for MCP servers — install, configure, and manage MCP servers across Claude Desktop, Cursor, and Windsurf
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.
MCP server for Sentinel QA — manage test cases from any AI assistant
Simple MCP Client to quickly test and explore MCP servers from the command line
eip-mcp is an open-source MCP server that delivers vulnerability and exploit intelligence for AI assistants. It supports the Model Context Protocol and is designed for integration into security and AI workflows. Distributed under the MIT license.
Convert MCP server tools into hierarchical CLI commands and agent Skills
mcp-brain is a command-line and MCP server framework for multi-agent cognitive processing. It enables developers and researchers to coordinate and execute complex agent-based workflows, supporting advanced automation and distributed AI tasks.
abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. It is designed for developers and researchers building autonomous AI agents that require web interaction capabilities.
