by signal-slot
Systemd-Coredump: Access, manage, and analyze Linux core dumps with tools for listing, retrieving, and generating stack
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.
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.
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.
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.
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
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Share your MCP server with the developer community
Systemd-Coredump is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Systemd-Coredump reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Systemd-Coredump benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Systemd-Coredump for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Systemd-Coredump is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Systemd-Coredump surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Systemd-Coredump into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Systemd-Coredump benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Systemd-Coredump for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Systemd-Coredump surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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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.
coredumpctl command-line utility must be availablenpm install -g @taskjp/server-systemd-coredump
npm install @taskjp/server-systemd-coredump
cd systemd-coredump-server
npm install
npm run build
Add the server to your MCP settings configuration file:
"systemd-coredump": {
"command": "systemd-coredump-server",
"args": [],
"disabled": false,
"autoApprove": []
}
"systemd-coredump": {
"command": "node",
"args": ["node_modules/@taskjp/server-systemd-coredump/build/index.js"],
"disabled": false,
"autoApprove": []
}
"systemd-coredump": {
"command": "node",
"args": ["/path/to/systemd-coredump-server/build/index.js"],
"disabled": false,
"autoApprove": []
}
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:
set_coredump_enabled: Enable or disable core dump generation
{
"name": "set_coredump_enabled",
"arguments": {
"enabled": true
}
}
Setting enabled to true will enable core dumps, while false will 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.
The server exposes two types of resources:
Coredump Information
coredump:///<id>Stack Traces
stacktrace:///<id>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
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.
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ 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.