jupyter-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server for use within Jupyter environments. Below are 15 frameworks & sdks apps with similar functionality to jupyter-mcp-server, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
pythonanywhere-mcp-server is an open-source Python package that implements a Model Context Protocol (MCP) server, allowing developers to orchestrate and manage AI models in Python environments. It is designed for AI developers and researchers who need a standardized protocol server for model integration and orchestration. The package is MIT licensed and can be self-hosted via the command line.
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.
mcp-numpy is an open-source MCP server that exposes NumPy's numerical computing functions through an API, enabling remote structured data processing and integration into distributed systems.
MCP server for the Qiskit Code Assistant
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.
plesk-mcp is an open-source MCP server that facilitates automation and orchestration of model context protocol workflows, particularly for hosting and AI infrastructure scenarios. It is designed for engineers integrating AI models into hosting platforms.
mcp-sympy is an open-source MCP server that exposes the symbolic mathematics capabilities of SymPy through a programmable API. It enables developers to integrate advanced math operations into their applications using the MCP protocol. Distributed under the MIT license.
A MCP server which proxies requests to a remote MCP server over streamable HTTP or SSE.
mcpforunityserver is a Unity package that integrates the Model Context Protocol (MCP) into the Unity Editor, enabling AI and automation workflows for game developers. It supports agent-based automation and multimodal model integration.
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.
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.
mcp-sudo is a command-line infrastructure tool that enables secure execution of sudo commands via an MCP server, featuring encrypted password storage. It is designed for system administrators and DevOps teams managing automated privileged operations.
cygnus-ssh-mcp is an open-source CLI tool that implements an MCP server for managing SSH remote servers. It enables automation and orchestration of server tasks using the Model Context Protocol, targeting system administrators and DevOps engineers.
janus-mcp-server is an open-source command-line tool that implements a secure MCP server for Kubernetes, enabling redacted diagnostics and human-approved configuration changes. It is designed for DevOps teams seeking secure, auditable cluster management.
