Support Engineer MCP Server
A vendor-agnostic MCP server for technical support engineers, providing knowledge search, ticket analysis, and resolution suggestions.
README
Support Engineer MCP Server
A vendor-agnostic MCP server for technical support engineers, providing knowledge search, ticket analysis, and resolution suggestions.
Features
- Search Knowledge Base: Find relevant articles, tickets, and guides by keyword.
- Analyze Tickets: Load ticket CSVs to get statistics and sample data.
- List Knowledge Files: Browse all available files in the knowledge base.
- Suggest Resolutions: Get recommendations based on issue descriptions (placeholder, extendable with ML).
Installation
Prerequisites
- Python 3.10 or later
- pip (usually included with Python)
1. Clone the repository
git clone https://github.com/tsabra76/support-engineer-mcp.git
cd support-engineer-mcp
2. Install dependencies
pip install -r requirements.txt
3. (Optional) Customize the knowledge base
Replace the sample files in the knowledge/ folder with your own data. The server automatically reads all .csv and .md files from that directory. You can also set the KNOWLEDGE_ROOT environment variable to point to a different location.
4. Configure your MCP client
Below are instructions for connecting the server to Claude Code (Anthropic) and OpenAI Codex CLI.
Claude Code
Edit your Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Add the following entry under mcpServers:
{
"mcpServers": {
"support-engineer": {
"command": "python",
"args": ["C:/path/to/support-engineer-mcp/support_mcp_server.py"],
"env": {
"KNOWLEDGE_ROOT": "C:/path/to/support-engineer-mcp/knowledge"
}
}
}
}
Replace C:/path/to/ with the actual absolute path to your cloned repository. The KNOWLEDGE_ROOT variable is optional; if omitted, the server defaults to the knowledge/ folder inside the repository.
Restart Claude Desktop after saving the configuration.
OpenAI Codex CLI
Add an MCP server to your Codex configuration file (~/.codex/config.yaml or %USERPROFILE%\.codex\config.yaml on Windows):
mcp_servers:
- name: support-engineer
command: python
args:
- "C:/path/to/support-engineer-mcp/support_mcp_server.py"
env:
KNOWLEDGE_ROOT: "C:/path/to/support-engineer-mcp/knowledge"
Again, replace the paths with the actual location of your repository. After editing the file, restart your Codex session or IDE integration.
5. Verify the connection
Once connected, you should see the server's tools (search_knowledge, analyze_tickets, list_knowledge_files, suggest_resolution) available in your MCP client's tool list.
Customization
- Replace
knowledge/tickets_sample.csvwith your own ticket data. - Replace
knowledge/articles_sample.csvwith your own knowledge articles. - Edit
knowledge/troubleshooting_guide.mdto add your own troubleshooting steps. - Override the knowledge root path with the
KNOWLEDGE_ROOTenvironment variable.
License
MIT
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