Systemd-Coredump▌
by signal-slot
Systemd-Coredump: Access, manage, and analyze Linux core dumps with tools for listing, retrieving, and generating stack
Provides a bridge to systemd-coredump functionality for accessing, managing, and analyzing system core dumps in Linux environments, including listing available coredumps, retrieving information, extracting dumps, and generating stack traces using GDB.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / System administrators debugging crashes
- / Linux developers analyzing application failures
- / DevOps teams investigating system issues
capabilities
- / List available system coredumps
- / Get detailed coredump information
- / Extract coredump files to disk
- / Generate stack traces with GDB
- / Configure coredump settings
- / Enable/disable coredump generation
what it does
Provides access to systemd-coredump functionality for managing and analyzing Linux system core dumps. Lets you list, inspect, extract core dumps and generate stack traces using GDB.
about
Systemd-Coredump is a community-built MCP server published by signal-slot that provides AI assistants with tools and capabilities via the Model Context Protocol. Systemd-Coredump: Access, manage, and analyze Linux core dumps with tools for listing, retrieving, and generating stack It is categorized under ai ml, developer tools. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Systemd-Coredump in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Systemd-Coredump is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
systemd-coredump MCP Server
A Model Context Protocol (MCP) server for interacting with systemd-coredump functionality. This enables MCP-capable applications to access, manage, and analyze system core dumps.
Features
- List all available coredumps in the system
- Get detailed information about specific coredumps
- Extract coredump files to a specified location
- Remove coredumps from the system
Prerequisites
- Node.js 18+ and npm
- systemd-coredump must be installed and configured on the system
coredumpctlcommand-line utility must be available
Installation
From npm (recommended)
Global Installation
npm install -g @taskjp/server-systemd-coredump
Local Installation
npm install @taskjp/server-systemd-coredump
From Source
- Clone the repository or download the source code
- Install dependencies:
cd systemd-coredump-server
npm install
- Build the server:
npm run build
Configuration
Add the server to your MCP settings configuration file:
If installed from npm globally:
"systemd-coredump": {
"command": "systemd-coredump-server",
"args": [],
"disabled": false,
"autoApprove": []
}
If installed from npm locally:
"systemd-coredump": {
"command": "node",
"args": ["node_modules/@taskjp/server-systemd-coredump/build/index.js"],
"disabled": false,
"autoApprove": []
}
If installed from source:
"systemd-coredump": {
"command": "node",
"args": ["/path/to/systemd-coredump-server/build/index.js"],
"disabled": false,
"autoApprove": []
}
Usage
Available Tools
The server provides the following tools:
-
list_coredumps: List all available coredumps in the system
{ "name": "list_coredumps" } -
get_coredump_info: Get detailed information about a specific coredump
{ "name": "get_coredump_info", "arguments": { "id": "2023-04-20 12:34:56-12345" } } -
extract_coredump: Extract a coredump to a file
{ "name": "extract_coredump", "arguments": { "id": "2023-04-20 12:34:56-12345", "outputPath": "/path/to/output/core.dump" } } -
remove_coredump: Remove a coredump from the system
{ "name": "remove_coredump", "arguments": { "id": "2023-04-20 12:34:56-12345" } } -
get_coredump_config: Get the current core dump configuration of the system
{ "name": "get_coredump_config" }This tool returns information about the current core dump configuration, including:
- Whether core dumps are enabled
- The current core pattern
- The core size limit
- Whether systemd is handling the core dumps
-
set_coredump_enabled: Enable or disable core dump generation
{ "name": "set_coredump_enabled", "arguments": { "enabled": true } }Setting
enabledtotruewill enable core dumps, whilefalsewill disable them. Note: This changes the ulimit settings for the current shell. For permanent system-wide changes, root privileges and modification of system configuration files would be required. -
get_stacktrace: Get stack trace from a coredump using GDB
{ "name": "get_stacktrace", "arguments": { "id": "2023-04-20 12:34:56-12345" } }This tool uses GDB to extract a formatted stack trace from the coredump. Note: Requires the GDB debugger to be installed on the system.
Available Resources
The server exposes two types of resources:
-
Coredump Information
- URI format:
coredump:///<id> - Returns JSON with detailed coredump information
- URI format:
-
Stack Traces
- URI format:
stacktrace:///<id> - Returns a formatted stack trace from the coredump
- URI format:
Where <id> is the unique identifier for a coredump in the format: <timestamp>-<pid>.
For example:
coredump:///2023-04-20 12:34:56-12345
stacktrace:///2023-04-20 12:34:56-12345
Note on Permissions
Some operations may require elevated privileges, especially when extracting or removing coredumps. Ensure the user running the MCP server has appropriate permissions to access system coredumps.
License
MIT
FAQ
- What is the Systemd-Coredump MCP server?
- Systemd-Coredump is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Systemd-Coredump?
- This profile displays 52 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.5★★★★★52 reviews- ★★★★★Ishan Chawla· Dec 24, 2024
Systemd-Coredump is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Sofia Lopez· Dec 12, 2024
Systemd-Coredump reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★James Gill· Dec 8, 2024
According to our notes, Systemd-Coredump benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Harper Dixit· Nov 27, 2024
I recommend Systemd-Coredump for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ishan Garcia· Nov 15, 2024
Systemd-Coredump is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Hassan Harris· Oct 18, 2024
Strong directory entry: Systemd-Coredump surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Amelia Harris· Oct 6, 2024
We wired Systemd-Coredump into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kaira Liu· Sep 25, 2024
According to our notes, Systemd-Coredump benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Rahul Santra· Sep 21, 2024
I recommend Systemd-Coredump for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Kabir Taylor· Sep 13, 2024
Strong directory entry: Systemd-Coredump surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 52