Memory MCP Server
Persistent memory using a knowledge graph
A standalone MCP server that enables AI coding agents to create, manage, and interact with Quarkus applications. It runs as a separate process that survives app crashes, giving agents the ability to create projects, control application lifecycle (start/stop/restart), proxy Dev MCP tools, and search Quarkus documentation.
{
"mcpServers": {
"quarkus-agent-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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A standalone MCP server that enables AI coding agents to create, manage, and interact with Quarkus applications. It runs as a separate process that survives app crashes, giving agents the ability to create projects, control application lifecycle (start/stop/restart), proxy Dev MCP tools, and search Quarkus documentation.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
Apache-2.0. View license →
Is it maintained?
Last commit 0 days ago. 7 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
Hash-verified file editing MCP server with token efficiency hook. 11 tools for AI coding agents.
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A standalone MCP server that enables AI coding agents to create, manage, and interact with Quarkus applications. It runs as a separate process that survives app crashes, giving agents the ability to create projects, check for updates, read extension skills, control application lifecycle, proxy Dev MCP tools, and search Quarkus documentation.
Part of the DevStar working group.
Add the marketplace and install the plugin:
claude plugin marketplace add quarkusio/quarkus-agent-mcp
claude plugin install quarkus-agent@quarkus-tools
This installs the plugin and configures the MCP server automatically. Requires JBang.
JBang resolves the uber-jar from Maven Central automatically — no build step needed.
claude mcp add quarkus-agent -- jbang quarkus-agent-mcp@quarkusio
Add to .vscode/mcp.json in your workspace:
{
"servers": {
"quarkus-agent": {
"type": "stdio",
"command": "jbang",
"args": ["quarkus-agent-mcp@quarkusio"]
}
}
}
Add to .bob/mcp.json:
{
"mcpServers": {
"quarkus-agent": {
"command": "jbang",
"args": ["quarkus-agent-mcp@quarkusio"]
}
}
}
Add to .cursor/mcp.json:
{
"mcpServers": {
"quarkus-agent": {
"command": "jbang",
"args": ["quarkus-agent-mcp@quarkusio"]
}
}
}
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"quarkus-agent": {
"command": "jbang",
"args": ["quarkus-agent-mcp@quarkusio"]
}
}
}
Download the uber-jar from the latest GitHub Release, then:
claude mcp add quarkus-agent -- java -jar /path/to/quarkus-agent-mcp-1.0.0-runner.jar
git clone https://github.com/quarkusio/quarkus-agent-mcp.git
cd quarkus-agent-mcp
./mvnw package -DskipTests -Dquarkus.package.jar.type=uber-jar
This produces the uber-jar at target/quarkus-agent-mcp-1.0.0-SNAPSHOT-runner.jar.
claude mcp add quarkus-agent -- java -jar /path/to/quarkus-agent-mcp/target/quarkus-agent-mcp-1.0.0-SNAPSHOT-runner.jar
After registering, ask your agent something like:
"Search the Quarkus docs for how to create a REST endpoint"
If the MCP server is working, the agent will use quarkus/searchDocs and return documentation results.
Ask your agent to build a Quarkus application using natural language. The agent uses the MCP tools automatically.
Example conversation:
You: Create a Quarkus REST API with a greeting endpoint and a PostgreSQL database
Agent: (uses
quarkus/createto scaffold the project withrest-jackson,jdbc-postgresql,hibernate-orm-panacheextensions — the app starts automatically in dev mode, and aCLAUDE.mdis generated with project-specific workflow instructions)Agent: (calls
quarkus/skillsto learn the correct patterns for Panache, REST, and other extensions before writing any code)You: Add a
Greetingentity and a REST endpoint that stores and retrieves greetingsAgent: (writes the code following patterns from skills, then runs tests via a subagent using
quarkus/callTool)
The MCP server guides the agent through the