abrasio-mcp is an open-source MCP server that exposes the Abrasio agentic browser, allowing AI models to perform browser automation tasks. Below are 28 autonomous agents & workflows apps with similar functionality to abrasio-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
mcp-abuseipdb is an open-source Model Context Protocol (MCP) server that integrates with the AbuseIPDB API, providing threat intelligence capabilities for developers and security teams. It can be run via CLI or as an API service.
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.
kubernetes-mcp is a CLI tool that provides an MCP server for exposing Kubernetes cluster operations to AI assistants. It enables automation and management of Kubernetes environments through AI-driven workflows.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
mcp-remlezrd is an open-source server implementing the Model Context Protocol (MCP) for AI agents. It allows developers to manage, exchange, and serve context for AI workflows, supporting integration with agent frameworks and research projects.
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.
arc-browser-mcp is an open-source local MCP server that enables automation and control of Arc Browser Spaces and tabs on macOS. It is designed for power users and developers seeking to script or automate browser workflows.
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.
alpacon-mcp is an open-source Python package that enables AI-powered server management and integrates the Model Context Protocol (MCP) for seamless connection with AI tools like Claude and Cursor. It is designed for developers and infrastructure engineers seeking to automate and monitor server operations using modern AI integrations.
hyperclast-mcp is an open-source MCP server that lets developers enable AI assistants to read and write user pages. It provides a standardized interface for integrating AI-driven automation into applications, supporting extensibility and self-hosted deployments.
air-blackbox-mcp is an open-source CLI tool and MCP server that scans AI agent code for compliance with the EU AI Act, GDPR, and bias detection. It helps developers and compliance teams analyze, remediate, and protect AI systems against regulatory risks.
agent-brain-ag-mcp is an open-source Model Context Protocol (MCP) server that exposes Agent Brain as MCP tools, resources, and prompts. It enables developers to integrate Agent Brain capabilities into agent-based applications, supporting RAG workflows and Claude integration. Ideal for AI developers seeking extensible agent frameworks.
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.
alpha-forge-mcp is an open-source MCP server that exposes the AlphaForge CLI to AI coding tools like Claude Code and Cursor. It facilitates quant trading, backtesting, and integration via the Model Context Protocol for developers and AI tool builders.
openclaw-health-mcp is an open-source MCP server for monitoring the health of AI agent deployments. It tracks gateway status, resource usage, errors, and skill registry integrity, providing cross-platform support for infrastructure operators and developers managing production AI systems.
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.
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.
MCP.so is a third-party marketplace for discovering, searching, and integrating MCP servers and clients. It provides a large collection of MCP servers, supports AI and agent integrations, and offers installation via API, CLI, and Docker. Designed for developers building AI-powered applications.
Memanto is an open-source, on-premises memory agent designed to provide persistent semantic memory for AI agents. It addresses the challenge of enabling AI agents to retain, organize, and recall information across sessions, helping them avoid forgetting decisions, conventions, and context between interactions. The tool is built on an information-theoretic search engine and is structured to run entirely on a user's local machine, requiring no API keys, vector databases, or external backend services. Memanto supports instant ingestion of information, with memories becoming searchable immediately after being written, and boasts recall latency of under 90 milliseconds. It implements features such as conflict resolution, semantic categorization into 13 types, verifiable memory sources, deterministic search, temporal queries, and info-theoretic scoring. The system is designed to prioritize freshness, ensuring that new facts outrank outdated ones, and automatically resolves conflicting data as it is ingested. The platform offers a range of integrations, supporting over 17 different agents and frameworks, including Claude Code, Cursor, Codex, GitHub Copilot, Gemini, and others. Users can manage agents, store memories, and perform retrieval-augmented generation (RAG) directly from the command line interface. Additionally, Memanto provides a local interactive dashboard for managing agents and memories, viewing conflicts and connections, and migrating from other memory solutions. Embeddings and answers are processed locally, ensuring that no data leaves the user's laptop. Installation is streamlined through a single pip install command, and users can choose between cloud and on-premises backends, with the on-premises option requiring Docker and running on localhost. Memanto is positioned as a solution for developers and teams building or operating AI agents who require reliable, persistent, and private memory infrastructure. The tool is offered completely free of charge under an open-source license.
vectra-ai-mcp-server is an open-source MCP server that exposes security detection, investigation, and response tools to AI assistants. It enables integration with AI-driven workflows for security automation and is suitable for security engineers and AI developers.
aperture-mcp is an open-source CLI and MCP server that monitors AI-edited decision documents for disappearing tracked commitments. It can be used as a git pre-commit hook or standalone tool, helping teams maintain accountability in document changes.
Agent MCP Studio is a free, browser-based platform for building, running, and exporting Model Context Protocol (MCP) tools and AI agents. It enables developers to specify tools in natural language, generate code with LLMs, and run agents entirely in the browser or via Docker. Designed for AI developers and researchers.
aipaygen-mcp is an open-source Python package and marketplace for AI trading agents, supporting the Model Context Protocol (MCP). It allows developers to buy, sell, and deploy agents for trading, research, code generation, and scraping. The platform facilitates agent-to-agent commerce and revenue sharing for agent creators.
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. It supports device discovery, serial/TCP transport, admin, observability, and hardware-free Android emulator e2e testing for developers and testers.
Helps AI assistants access text content from bot-protected websites. MCP server that fetches HTML/markdown from sites with anti-automation measures using Scrapling.
wet-mcp is an open-source MCP server that enables web search, extraction, crawling, and academic research with embedded SearXNG. It is designed for researchers and developers needing customizable, self-hosted search and data extraction capabilities.
mcp-forger is an open-source tool that enables developers to convert any application into an MCP server with the help of AI. It offers both a CLI and a desktop plugin, integrating with Claude for enhanced automation and code generation.
