sagemath-mcp is an open-source Model Context Protocol server that allows developers to perform stateful SageMath computations programmatically. Below are 11 frameworks & sdks apps with similar functionality to sagemath-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
sql-sop-mcp is an open-source Model Context Protocol server that exposes the sql-sop SQL linter to large language models via API. It enables developers to integrate SQL safety checks into LLM-powered workflows, supporting tools like Claude, Cursor, and ChatGPT.
MCP (Model Context Protocol) server for pyscn Python code analyzer
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.
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.
compos-mcp is an open-source MCP server designed for integrating Compos architectural memory into AI and LLM workflows. It provides a model context protocol implementation, allowing developers to manage and serve contextual memory for advanced AI applications. Suitable for AI developers and researchers building memory-augmented systems.
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.
MCPM is an open-source command-line tool that helps developers manage Model Context Protocol (MCP) servers. It offers features like server discovery, global installation, profile-based organization, and seamless integration with MCP clients, making it easier to configure and share AI agent servers.
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.
gromacs-mcp is an open-source Model Context Protocol server that manages local GROMACS installations for building, solvating, ionizing, running, and analyzing molecular dynamics simulations. It is designed for computational chemistry researchers.
Model Context Protocol (MCP) is an open-source framework that provides a standardized way for AI models to communicate with external tools and services. It enables developers to build AI applications that integrate with multiple LLM providers using a unified protocol, simplifying tool integration and interoperability.
msmcp-template is an open-source template for implementing Model Context Protocol (MCP) servers, supporting LLM integration and API-based workflows. It is designed for AI infrastructure developers building custom MCP-compatible services.
