Systemd-Coredump: Access, manage, and analyze Linux core dumps with tools for listing, retrieving, and generating stack
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
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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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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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"systemd-coredump": {
"command": "npx",
"args": [
"-y",
"@taskjp/server-systemd-coredump"
]
}
}
}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.
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
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.
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