1. Conduid
  2. AI
  3. Coralogix MCP
MCP server · AI

Coralogix MCP

A powerful command-line tool for monitoring and analyzing Coralogix logs using Model Control Protocol (MCP). Streamline your log analysis workflow with AI-powered insights, real-time error tracking, and intelligent log context extraction.

Unclaimed MIT last commit 8 months ago ai
58Fair

Scored 3 months ago · breakdown

About Coralogix MCP

Coralogix MCP is an MCP server published by neoai-agent in the AI category: a powerful command-line tool for monitoring and analyzing Coralogix logs using Model Control Protocol (MCP). Streamline your log analysis workflow with AI-powered insights, real-time error tracking, and intelligent log context extraction. It has been installed 0 times through Conduid.

The repository has 11 stars and 2 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx coralogix-mcp

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.

Ask AI

Ask AI about Coralogix MCP

Powered by Claude · Grounded in docs

I know everything about Coralogix MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Coralogix MCP Server

A command-line tool for monitoring and analyzing Coralogix logs using MCP (Model Control Protocol).

Installation

Install directly from GitHub using pipx:

# Install
pipx install git+https://github.com/neoai-agent/coralogix-mcp.git

# Or run without installation
pipx run git+https://github.com/neoai-agent/coralogix-mcp.git

Quick Start

Run the server with your credentials:

coralogix-mcp --coralogix-api-key "YOUR_CORALOGIX_API_KEY" \
              --openai-api-key "YOUR_OPENAI_API_KEY"

Available Tools

The coralogix-mcp package provides the following MCP tools for interacting with Coralogix logs:

  1. get_2xx_logs - Analyze 2XX success logs from Coralogix with API endpoint statistics

    • Returns API analysis showing top endpoints with request counts
    • Optional service_name parameter to filter by specific service
  2. get_4xx_logs - Analyze 4XX client error logs from Coralogix

    • Returns API analysis with endpoint statistics
    • Includes recent error details from the last 2 minutes
    • Shows total error count
    • Optional service_name parameter to filter by specific service
  3. get_5xx_logs - Analyze 5XX server error logs from Coralogix

    • Returns API analysis with endpoint statistics
    • Includes recent error details from the last 2 minutes
    • Shows total error count
    • Optional service_name parameter to filter by specific service
  4. get_coralogix_logs_by_string - Search logs for a specific string and return context around matches

    • Required search_string parameter to search for
    • Optional service_name parameter to filter by specific service
    • Optional context_lines parameter (default: 100) to specify context around matches
    • Returns log entries with surrounding context for better debugging

All tools automatically handle:

  • Service name matching and validation
  • Time range filtering (default: last 15 minutes)
  • Error handling and logging
  • JSON response formatting

For more details, run:

coralogix-mcp --help

Development

For development setup using a virtual environment:

# Clone the repository
git clone https://github.com/neoai-agent/coralogix-mcp.git
cd coralogix-mcp

# Set up virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

License

MIT License - See LICENSE file for details.

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Coralogix MCP

How do I install Coralogix MCP?

Run npx coralogix-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Coralogix MCP safe to use with an AI agent?

Its trust score is 58 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Coralogix MCP still maintained?

The last commit was 8 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.