fluent-mcp-server
Provides smart URL navigation to ANSYS Fluent documentation, enabling AI assistants to quickly find relevant help pages and manual sections.
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:
<details> <summary><b>Claude Code</b> (CLI)</summary>
claude mcp add fluent -- uvx fluent-mcp-server
Verify:
claude mcp list
claude mcp info fluent
</details>
<details> <summary><b>Claude Desktop</b></summary>
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.
</details>
<details> <summary><b>Cursor</b></summary>
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"]
}
}
}
</details>
<details> <summary><b>VS Code</b> (GitHub Copilot)</summary>
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"]
}
}
}
</details>
<details> <summary><b>Cline</b> (VS Code Extension)</summary>
Install Cline extension, then add to VS Code settings:
{
"cline.mcpServers": {
"fluent": {
"command": "uvx",
"args": ["fluent-mcp-server"]
}
}
}
Reload VS Code window after saving.
</details>
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:
md-files/QUICKSTART.md- Setup and usage guideREADME.md- This file (overview)
Technical Documentation:
md-files/ARCHITECTURE.md- System architecture and designmd-files/TOOLS.md- Complete tool catalogmd-files/ANSYS_HELP_GUIDE.md- ANSYS Help site patterns
Validation & Analysis:
md-files/REDDIT_REAL_WORLD_EXAMPLES.md- Real user questionsmd-files/GAP_ANALYSIS.md- Coverage analysismd-files/USERSTORY.md- User scenarios
Development:
License
MIT License
Contributing
Contributions welcome! Please ensure:
- Tests pass:
uv run pytest - Code follows existing style
- Documentation updated
fluent-mcp-server
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.