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Fluent MCP Server

Ansys Fluent MCP server in python

Unclaimed MIT last commit 11 months ago devtools
34Low

Scored 11 days ago · breakdown

About Fluent MCP Server

Fluent MCP Server is an MCP server published by jiweiqi in the Developer Tools category: ansys Fluent MCP server in python.

The repository has 9 stars and 3 forks, with the last commit 11 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/jiweiqi/fluent-mcp-server

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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Security checks

Static checks derived from the repository 6 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

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README

ANSYS Fluent MCP Server

A Model Context Protocol (MCP) server that helps AI assistants navigate ANSYS Fluent online documentation efficiently.

Features

  • Smart URL Navigator - Find relevant ANSYS Help documentation URLs instantly
  • 35+ Topic Routes - Pre-mapped paths to common Fluent topics
  • Always Up-to-Date - Points to official ANSYS documentation
  • Zero Maintenance - No static content to update
  • Lightweight - Fast URL generation, no heavy indexing

Quick Start

Prerequisites

  • Python 3.10 or higher
  • uv package manager

Installation

Choose your MCP client below for setup instructions:

claude mcp add fluent -- uvx fluent-mcp-server

Verify:

claude mcp list
claude mcp info fluent

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

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

Restart Claude Desktop completely after saving.

Go to Cursor Settings → MCP → Add new MCP Server:

  • Name: fluent
  • Command: uvx fluent-mcp-server

Or edit config file:

macOS: ~/Library/Application Support/Cursor/mcp_config.json Windows: %APPDATA%\Cursor\mcp_config.json Linux: ~/.config/Cursor/mcp_config.json

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

CLI:

code --add-mcp '{"name":"fluent","command":"uvx","args":["fluent-mcp-server"]}'

Or add to VS Code settings:

{
  "github.copilot.chat.mcp.servers": {
    "fluent": {
      "command": "uvx",
      "args": ["fluent-mcp-server"]
    }
  }
}

Install Cline extension, then add to VS Code settings:

{
  "cline.mcpServers": {
    "fluent": {
      "command": "uvx",
      "args": ["fluent-mcp-server"]
    }
  }
}

Reload VS Code window after saving.

For 11 additional clients (Windsurf, Continue, Amp, Codex, Gemini CLI, Goose, Kiro, LM Studio, opencode, Qodo Gen, Warp), see Complete Setup Guide →

Local Development

# Clone the repository
git clone https://github.com/your-org/fluent-mcp-server.git
cd fluent-mcp-server

# Install with uv
uv pip install -e ".[dev]"

# Run tests
uv run pytest

# Run server
uv run fluent-mcp-server

Development configuration (.mcp.json in project root):

{
  "mcpServers": {
    "fluent": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/fluent-mcp-server",
        "run",
        "fluent-mcp-server"
      ]
    }
  }
}

Available Tools

search_help

Find ANSYS Fluent documentation URLs for your query. Returns search URLs and suggested manual sections.

Parameters:

  • query (required): Search term (e.g., "flamelet model", "read case", "turbulence")
  • max_suggestions (optional): Maximum manual section suggestions (default: 3)

Returns:

  • ANSYS Help search URL
  • Suggested manual sections (if topic is pre-mapped)
  • Links to all major manuals

Example:

search_help("flamelet model")
# Returns:
# - Search URL: https://ansyshelp.ansys.com/search?q=flamelet+model
# - Suggested: flamelet User Guide + Theory Guide
# - All manuals: User Guide, TUI, Theory, UDF

search_help("read case")
# Returns URLs to file/read-case TUI documentation

list_topics

List the 35+ topics with pre-mapped documentation routes.

Returns: List of topics like: file, turbulence, combustion, flamelet, mesh, boundary, udf, etc.

Example:

list_topics()

get_manual_link

Get direct link to a specific Fluent manual or section.

Parameters:

  • manual (required): Manual name (user_guide, tui, theory, udf)
  • section (optional): Section path (e.g., "turbulence", "file/read-case")

Example:

get_manual_link("udf", "introduction")
# Returns: https://ansyshelp.ansys.com/.../flu_udf/introduction.html

Usage Examples

In Claude Code / AI Assistant

You: How do I use the flamelet model in Fluent?
Claude: [Calls search_help("flamelet model")]
        [Receives URLs to flamelet documentation]
        [Uses WebFetch to read the actual documentation]
        [Provides answer based on official ANSYS docs]

You: Show me the command to read a case file
Claude: [Calls search_help("read case")]
        [Gets URL to file/read-case TUI command]
        [Retrieves documentation and shows syntax]

Architecture Flow

User Query → MCP search_help → Returns URLs →
LLM uses WebFetch → Reads official docs → Answers user

The MCP server acts as a smart navigator, not a content database.

Architecture

fluent-mcp-server/
├── src/fluent_mcp_server/
│   ├── server.py          # FastMCP server & tool definitions
│   ├── doc_finder.py      # Smart URL router (35+ topic mappings)
│   └── __init__.py
├── md-files/
│   ├── ARCHITECTURE.md    # Technical architecture
│   └── ...
├── tests/                 # Unit tests
├── examples/              # Usage examples
└── pyproject.toml        # Project configuration

Roadmap

Phase 1.x: Route Expansion (Future)

  • Add more topic routes based on usage patterns
  • Version selection (v251, v252, v253)
  • Usage analytics to identify popular topics

Phase 2: PyFluent Integration (Planned)

  • Connect to Fluent sessions
  • Execute TUI commands programmatically
  • Case I/O via PyFluent API
  • Mesh quality automation
  • Convergence monitoring

Phase 3: Workflow Automation (Planned)

  • Boundary condition templates
  • Solver configuration wizards
  • Post-processing automation
  • Parametric studies

See md-files/ARCHITECTURE.md for detailed roadmap.

Documentation

Getting Started:

Technical Documentation:

Validation & Analysis:

Development:

License

MIT License

Contributing

Contributions welcome! Please ensure:

  • Tests pass: uv run pytest
  • Code follows existing style
  • Documentation updated

fluent-mcp-server

README fetched from the repository 6 days ago. The original is authoritative.

Questions

About Fluent MCP Server

How do I install Fluent MCP Server?

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

Is Fluent MCP Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 5 of the 5 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Fluent MCP Server still maintained?

The last commit was 11 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.