Skip to main content

MCP server for ITASCA PFC discrete element simulation control and documentation

Project description

pfc-mcp

pfc-mcp

English | 简体中文

PyPI Downloads GitHub stars MCP Badge License: MIT Python 3.10+

pfc3d>model new ;now, with LLM.

pfc-mcp connects AI agents to ITASCA PFC through the Model Context Protocol — browse documentation, run simulations, and execute code, all through natural conversation.

pfc3d>model solve ;LLM solves.

pfc-mcp demo

Tools (10)

5 documentation tools — browse and search PFC commands, Python API, and reference docs. No bridge required.

5 execution tools — interactive REPL, task submission, progress monitoring, interruption, and history. Requires bridge.

Quick Start

Prerequisites

  • ITASCA PFC 6.0, 7.0, or 9.0 installed
  • uv installed (for uvx)

Agentic Setup (Recommended)

Copy this to your AI agent and let it self-configure:

Fetch and follow this bootstrap guide end-to-end:
https://raw.githubusercontent.com/yusong652/pfc-mcp/main/docs/agentic/pfc-mcp-bootstrap.md

Manual Setup

1. Register the MCP server in your client config:

{
  "mcpServers": {
    "pfc-mcp": {
      "command": "uvx",
      "args": ["pfc-mcp"]
    }
  }
}

2. Start the bridge from inside PFC:

Download addon.py, then use either of these two flows inside PFC:

  • Copy the file contents into the PFC IPython console and run them
  • Or download the file and execute it in PFC GUI
addon.py demo

Verify

Restart your AI agent (Claude Code, Codex CLI, Gemini CLI, etc.) and ask it to call pfc_execute_code to verify the connection.

Features

  • Multi-version PFC support - command docs for PFC 6.0, 7.0, and 9.0 via the version parameter
  • Hierarchical documentation browsing - agents navigate the PFC command tree to discover capabilities and boundaries, reducing hallucinated commands
  • Enhanced plot documentation - plot items reference docs supplementing the official documentation
  • Interactive REPL - rapid iteration before committing to full scripts; agents can quickly test and refine code
  • Task lifecycle management - submit long-running simulations, monitor progress, interrupt running tasks, and browse task history
  • Multi-client compatible - works with Claude Code, Codex CLI, Gemini CLI, OpenCode, toyoura-nagisa, and other MCP clients

Troubleshooting

See Troubleshooting Guide.

Development

See Developer Guide: Install and Run from Source.

pfc-mcp MCP server

Contributing

PRs and issues are welcome! See the Developer Guide to get started.

License

MIT - see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pfc_mcp-0.3.8.tar.gz (590.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pfc_mcp-0.3.8-py3-none-any.whl (644.8 kB view details)

Uploaded Python 3

File details

Details for the file pfc_mcp-0.3.8.tar.gz.

File metadata

  • Download URL: pfc_mcp-0.3.8.tar.gz
  • Upload date:
  • Size: 590.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pfc_mcp-0.3.8.tar.gz
Algorithm Hash digest
SHA256 2607f0530c7d4485027ad8fcc4871889981acd05d88fa1aa6c7b8652e229dcd0
MD5 a39f47f898c17f636de62f998935afe5
BLAKE2b-256 96666c490f375c91a4ce6ac711a5cc8672521c73e7ebcfae2a9d2591e431b693

See more details on using hashes here.

Provenance

The following attestation bundles were made for pfc_mcp-0.3.8.tar.gz:

Publisher: publish.yml on yusong652/pfc-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pfc_mcp-0.3.8-py3-none-any.whl.

File metadata

  • Download URL: pfc_mcp-0.3.8-py3-none-any.whl
  • Upload date:
  • Size: 644.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pfc_mcp-0.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 abd3c582c43266561f5e2d0dae4f5cc8302fc2573e255d29be974283a7d3ac3d
MD5 1769102b87b949a739273795e0685c4f
BLAKE2b-256 a356908266ba5f05fc9cb9b894f34b14e16d45fb04fe4cd699ee116a9adde007

See more details on using hashes here.

Provenance

The following attestation bundles were made for pfc_mcp-0.3.8-py3-none-any.whl:

Publisher: publish.yml on yusong652/pfc-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page