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MCP server · Other

Pyansys Common MCP

· github.com/ansys/pyansys-common-mcp

PyAnsys common MCP

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Scored 6 months ago · breakdown

About Pyansys Common MCP

Pyansys Common MCP is an MCP server in the Other category: pyAnsys common MCP.

Install

From source
git clone https://github.com/ansys/pyansys-common-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

PyAnsys Common MCP

PyAnsys Python Apache

PyAnsys Common MCP provides the infrastructure for building Model Context Protocol (MCP) 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 3.10 through Python 3.14 on Windows, Mac OS, and Linux.

Install the latest package for use with this command:

pip install ansys-common-mcp

Alternatively, install the latest PyAnsys Common MCP GitHub package with this command:

pip install git+https://github.com/ansys/pyansys-common-mcp.git

For developers

If you are contributing to PyAnsys Common MCP or creating custom servers, install the package in developer mode:

# Clone the repository
git clone https://github.com/ansys/pyansys-common-mcp.git
cd pyansys-common-mcp

# Install in editable mode with development dependencies
pip install -e .[dev]

# Or install documentation dependencies for building documentation
pip install -e .[doc]

Quick start

To create an MCP server for your PyAnsys library, follow these three main steps:

  1. Define your custom context: Extend the PyAnsysBaseAppContext dataclass to store the product-specific state.
  2. Implement your MCP server: Extend the PyAnsysBaseMCP base class with startup and cleanup logic.
  3. Create MCP tools: Define tools that interact with your product.

Real-world example

For a complete, production-ready implementation, see the PyMAPDL-MCP repository.

Resources

For general PyAnsys questions, email pyansys.core@ansys.com.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Pyansys Common MCP

How do I install Pyansys Common MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pyansys Common MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pyansys Common MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.