kiprio-mcp Alternatives

mcp-ctrl is an open-source command-line tool that enables developers to manage and orchestrate Model Context Protocol (MCP) servers for Claude Code and other large language models. It supports Docker and Podman environments, making it easier to deploy and control LLM infrastructure. Ideal for AI engineers and developers working with MCP and LLM workflows.

praisonai-mcp is an open-source MCP server that allows developers to expose PraisonAI tools for use with MCP-compatible clients such as Claude Desktop and Cursor. It facilitates standardized integration of AI tools using the Model Context Protocol, making it easier for developers to connect their tools to various agent frameworks and clients.

ceph-mcp is an open-source CLI tool that implements a read-only MCP server for Rook-Ceph clusters. It enables storage administrators to monitor cluster health, OSD/PG status, pool usage, and RGW sync status using the Model Context Protocol.

Convert MCP server tools into hierarchical CLI commands and agent Skills

Turn any MCP server or OpenAPI spec into a CLI

pycli-mcp is an open-source Python library that allows developers to add MCP server capabilities to any command line application. It supports integration with argparse, click, and typer, making it easy to expose CLI tools via the Model Context Protocol. Ideal for Python developers building advanced CLI utilities.

kira-mcp is an open-source local MCP server for AI agents, providing YOLO-based UI-element detection, OCR, and full keyboard, mouse, and clipboard automation. It is designed for developers building autonomous agents that interact with desktop environments.

troi-mcp is an open-source MCP server that connects Claude Desktop to Troi project management and time tracking systems. It enables developers to integrate and automate workflows between AI agents and project management tools.

Simple MCP Client to quickly test and explore MCP servers from the command line

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.

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.

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.

Test your MCP server like you test an API — declarative YAML, CI-ready, zero boilerplate.

grocy-mcp is an open-source CLI tool and MCP server for Grocy, offering workflow automation, planning helpers, and household automation surfaces. It is designed for developers and advanced users seeking to extend Grocy's capabilities through command-line and automation protocols.

mcp-link is an open-source CLI package manager that enables users to install and manage MCP servers for Claude, Cursor, and Windsurf. It streamlines server setup for AI infrastructure engineers.

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.

MCP Servers is a marketplace and discovery platform that enables users to search for and explore a variety of MCP servers, clients, command-line tools, integrations, and reusable workflows. The platform is organized into categories such as Developer Tools, AI & Agents, Cloud & Infrastructure, Memory & Knowledge, and Media & Design, making it easier to find production-ready servers and related resources. The service highlights featured servers and clients, including those supporting payments, analytics, code editing, and database management. It lists both remote and local servers, as well as official and agent-ready CLI tools for tasks like JavaScript runtime management, database querying, audio/video processing, and cloud development. MCP Servers also showcases reusable prompts and workflows, referred to as "loops," which can automate tasks such as testing, accessibility auditing, code coverage, and continuous integration monitoring. In addition to servers and CLI tools, the platform features agent skills tailored for AI agents, covering areas like brainstorming, systematic debugging, writing plans, and skill invocation. These resources are designed to facilitate the connection of AI applications to various tools, data sources, and automated workflows. The platform also provides a feed of trending and newly published servers, offering insights into what the community is installing and using. MCP Servers is aimed at developers and those building AI-powered applications who need to integrate diverse tools and automate workflows. The platform is web-based and includes a registry of available servers, clients, and integrations.

MCPfinder is a free, open-source discovery and installation layer designed for AI agents to locate and configure Model Context Protocol (MCP) servers. It serves as an MCP server itself, enabling AI assistants to programmatically search multiple MCP registries, inspect trust signals, and generate install-ready JSON configurations for downstream MCP servers. The tool is intended primarily for AI agents, with humans only needing to install it once; after installation, the AI assistant can use MCPfinder repeatedly to expand its capabilities on demand. Key features include multi-registry search, aggregating MCP servers from the Official MCP Registry, Glama, and Smithery into a unified search interface. MCPfinder allows AI agents to find candidate servers by keyword, technology, or use case, inspect trust signals and required environment variables, and generate client-specific configuration snippets suitable for platforms such as Claude Desktop, Cursor, Claude Code, Cline, or Windsurf. The tool provides structured outputs, including confidence scores, recommendation reasons, warning flags, and install complexity, helping AI assistants make informed decisions about which servers to recommend or install. MCPfinder is delivered as an MCP server that can be added to any MCP-compatible AI client. Installation is flexible, supporting direct execution via NPX (no install needed), global installation with NPM, or project-based integration. Once installed, it operates as an always-up-to-date agent-facing layer, bootstrapping from published snapshots and syncing from upstream registries. This ensures that AI agents have access to the latest available MCP servers and their metadata, with freshness signals provided by snapshot manifests. 0 and is free to use, with the source code available for inspection, contribution, or forking. MCPfinder is built by the community for the community, and as of its latest published snapshot, it aggregates tens of thousands of MCP servers across multiple registries. Its focus on agent-native discovery, trust signal inspection, and install-ready configuration distinguishes it as an AI-centric solution within the ecosystem of MCP tools.

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.

pcp-mcp is an open-source MCP server designed for use with Performance Co-Pilot (PCP). It facilitates advanced monitoring and integration using the Model Context Protocol, making it suitable for system administrators and developers managing performance data.

race-mcp is an open-source command-line tool that enables local-first remote access, control, and data exchange using the MCP protocol. It is designed for developers and system administrators who require secure and efficient remote operations.

mcpipe is an open-source, plugin-based MCP server framework that allows developers to route any CLI tool through customizable Source → Executor → Sink pipelines. It supports the Model Context Protocol and is designed for extensibility and integration with other tools.

mcp-kvm is an open-source MCP server that allows AI agents to control computers through KVM hardware, enabling automation of tasks at the BIOS, login, and system recovery levels. It is designed for AI researchers and sysadmins working on autonomous computer management.

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.

iris-security-mcp is an open-source Python package that implements an MCP server, allowing organizations to connect Claude to AI agent governance and compliance systems. It supports secure agent management and integrates with existing compliance workflows. Designed for developers and teams building or managing AI agents.

keel-mcp is an open-source command-line tool and MCP server for comprehensive network diagnostics. It provides utilities such as ping, DNS lookup, traceroute, SSL checks, and port scanning, making it valuable for network administrators and developers troubleshooting connectivity issues.

mcp-strike is an open-source command-line tool designed for active, runtime adversarial testing of Model Context Protocol (MCP) servers. It helps security engineers and red teams identify vulnerabilities and weaknesses by simulating attacks and scanning for issues. The tool supports automated security assessments and is freely available under the MIT license.

radiomcp is an open-source command-line tool and MCP server for managing and playing internet radio stations. It features a TUI player, supports over 55,000 stations, integrates with the Airtune API, and uses mpv for playback. Ideal for developers and advanced users seeking programmable radio access.

mcp-top is an open-source CLI tool that profiles the context footprint and usage of local Model Context Protocol (MCP) servers. It helps AI infrastructure engineers monitor and optimize server resource usage.

Expose any CLI as MCP tools via YAML configuration

Reconnaissance and known-issue scanner for Model Context Protocol (MCP) servers

MCP server for Keysight CyPerf network testing platform

Lookup MCP servers in the official MCP Registry by name or URL.

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.