mcp-podman-crunchtools
Enables container, image, pod, network, volume, and system management via Podman REST API. Supports rootful and rootless Podman operations.
README
mcp-podman-crunchtools
<!-- mcp-name: io.github.crunchtools/podman -->
MCP server for Podman container management via the Podman REST API. Manages containers, images, pods, networks, volumes, and system info. Supports both rootful and rootless Podman.
Installation
# uvx (zero-install)
uvx mcp-podman-crunchtools
# pip
pip install mcp-podman-crunchtools
# Container
podman run -v /run/podman/podman.sock:/run/podman/podman.sock:z \
--security-opt label=type:container_runtime_t \
quay.io/crunchtools/mcp-podman
Configuration
| Variable | Required | Default | Description |
|---|---|---|---|
PODMAN_SOCKET |
No | Auto-detect | Unix socket path |
PODMAN_SOCKET_FILE |
No | — | File containing socket path |
PODMAN_TIMEOUT |
No | 30 | Request timeout in seconds |
Socket auto-detection order:
$XDG_RUNTIME_DIR/podman/podman.sock(rootless)/run/user/$UID/podman/podman.sock(rootless fallback)/run/podman/podman.sock(rootful)
Claude Code Integration
claude mcp add mcp-podman-crunchtools \
--env PODMAN_SOCKET=/run/podman/podman.sock \
-- uvx mcp-podman-crunchtools
Tools (30)
Containers (12)
| Tool | Description |
|---|---|
container_list |
List containers |
container_inspect |
Get container details |
container_start |
Start a container |
container_stop |
Stop a container |
container_restart |
Restart a container |
container_kill |
Send signal to container |
container_rm |
Remove a container |
container_logs |
Get container logs |
container_top |
List processes |
container_stats |
Resource usage |
container_create |
Create a container |
container_prune |
Remove stopped containers |
Images (5)
| Tool | Description |
|---|---|
image_list |
List images |
image_inspect |
Get image details |
image_pull |
Pull from registry |
image_rm |
Remove an image |
image_prune |
Remove unused images |
Pods (7)
| Tool | Description |
|---|---|
pod_list |
List pods |
pod_inspect |
Get pod details |
pod_start |
Start a pod |
pod_stop |
Stop a pod |
pod_restart |
Restart a pod |
pod_rm |
Remove a pod |
pod_create |
Create a pod |
Networks (2)
| Tool | Description |
|---|---|
network_list |
List networks |
network_inspect |
Get network details |
Volumes (2)
| Tool | Description |
|---|---|
volume_list |
List volumes |
volume_inspect |
Get volume details |
System (2)
| Tool | Description |
|---|---|
system_info |
Podman system info |
system_df |
Disk usage |
License
AGPL-3.0-or-later
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.