Common Model Context Protocol (MCP) server for PyAnsys libraries
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# PyAnsys Common MCP [](https://docs.pyansys.com/) [](https://pypi.org/project/ansys-common-mcp) [](https://opensource.org/licenses/Apache-2.0) PyAnsys Common MCP provides the infrastructure for building [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) servers for PyAnsys libraries. ## Overview This package provides the foundation for creating MCP servers that enable AI assistants (like Claude, ChatGPT) to interact with Ansys products through PyAnsys libraries. **Key features:** - **Persistent Python sessions**: Maintains stateful code execution across multiple AI requests. - **Lifecycle management**: Handles startup, cleanup, and errors automatically. - **Extensible architecture**: Uses base classes and patterns for product-specific implementations. - **Logging infrastructure**: Uses pre-configured logging that does not interfere with the MCP protocol. ## Installation ### For users The ``ansys.common.mcp`` package currently supports Python 3.12 through Python 3.14 on Windows, Mac OS, and Linux. Install the latest package for use with this command: ```bash pip install ansys-common-mcp ``` Alternatively, install the latest [PyAnsys Common MCP GitHub](https://github.com/ansys/pyansys-common-mcp) package with this command: ```bash pip install git+https://github.com/ansys/pyansys-common-mcp.git ``` ### For developers I…
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