mcp-jenkins vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-jenkins by lanbaoshen | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 120 | ★ 85,748 |
| 30d uses | — | — |
| Score | 47 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsOps & InfraProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
mcp-jenkins · Summary
MCP server for Jenkins integration, providing tools to interact with Jenkins CI/CD through AI assistants.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-jenkins · Use cases
- AI assistant triggering Jenkins builds with custom parameters
- Automating Jenkins infrastructure management through natural language
- Retrieving build logs, artifacts, and test reports for analysis
- Monitoring Jenkins builds and queue status via AI interface
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
mcp-jenkins · Install
Installation
Using pip:
pip install mcp-jenkins
mcp-jenkinsUsing uv (recommended):
pip install uv
uvx mcp-jenkinsDocker:
docker pull ghcr.io/lanbaoshen/mcp-jenkins:latest
docker run -p 9887:9887 --rm ghcr.io/lanbaoshen/mcp-jenkins:latest --transport streamable-httpClaude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"jenkins": {
"command": "uvx",
"args": ["mcp-jenkins", "--jenkins-url=YOUR_JENKINS_URL", "--jenkins-username=YOUR_USERNAME", "--jenkins-password=YOUR_TOKEN"]
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}