Mcp Rca
What is Mcp Rca
mcp-rca is a project designed to automate Root Cause Analysis (RCA) using Large Language Models (LLMs) and MCP, enabling intelligent responses to issues.
Use cases
Use cases for mcp-rca include automated monitoring of systems, diagnosing issues in real-time, and providing intelligent suggestions for problem resolution.
How to use
To use mcp-rca, navigate to the source directory and run the server using ‘python3 app.py’ for debugging or use a production ASGI server like Hypercorn for deployment. Update the prompt template in ‘src/mcp_client/prompt_template.txt’ to fit your requirements.
Key features
Key features of mcp-rca include automated RCA, integration with LLMs for intelligent responses, and a sample application to demonstrate its capabilities.
Where to use
mcp-rca can be used in various fields such as IT operations, software development, and any domain requiring efficient troubleshooting and issue resolution.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Rca
mcp-rca is a project designed to automate Root Cause Analysis (RCA) using Large Language Models (LLMs) and MCP, enabling intelligent responses to issues.
Use cases
Use cases for mcp-rca include automated monitoring of systems, diagnosing issues in real-time, and providing intelligent suggestions for problem resolution.
How to use
To use mcp-rca, navigate to the source directory and run the server using ‘python3 app.py’ for debugging or use a production ASGI server like Hypercorn for deployment. Update the prompt template in ‘src/mcp_client/prompt_template.txt’ to fit your requirements.
Key features
Key features of mcp-rca include automated RCA, integration with LLMs for intelligent responses, and a sample application to demonstrate its capabilities.
Where to use
mcp-rca can be used in various fields such as IT operations, software development, and any domain requiring efficient troubleshooting and issue resolution.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Automating Root Cause Analysis with LLMs and MCP: From Golden Signals to Intelligent Response
This repository contains the code for a sample application, an MCP client, and an MCP server used in a proof-of-concept (PoC) for automated Root Cause Analysis (RCA), as described in my blog.
RCA Webhook Server
The entry point for the webhook server responsible for RCA is located at src/app.py.
Update src/mcp_client/prompt_template.txt to match your requirements and environment.
To run the RCA server:
# Navigate to the source directory
cd src
# Run using debug server (suitable for non-production use)
python3 app.py
# For production use, it's recommended to run with production ASGI servers such as Hypercorn
Sample Application
The code for the sample application used in the PoC is located in the sample_app directory.
Note
- Even though I’ve used Quart to properly handle concurrent requests using event loop, I’ve not tested the application under load.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
