
quarkus-mcp-serversThis collection gives AI assistants ready-made tools to read your database, manage files, check running programs, and control cloud servers. You run them with simple commands and link them straight to
Overview
Key features
- JDBC database access
- JVM process inspection
- File system serving
- JavaFX drawing canvas
- Kubernetes cluster interaction
- Container engine management
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Database Integration
Use the JDBC server to store and retrieve data from a database, such as Postgres or MySQL, in an MCP-enabled LLM AI application.
File System Management
Use the file system server to serve files from a file system in an MCP-enabled LLM AI application.
Kubernetes Cluster Management
Use the Kubernetes server to interact with a Kubernetes cluster in an MCP-enabled LLM AI application.
Pros & Cons
Pros
- Extends capabilities of MCP-enabled LLM AI applications
- Provides access to various systems and services
- Can be run using jbang for easy execution
Cons
- Requires knowledge of Quarkus and MCP to contribute or customize servers
- Some servers may have specific requirements or limitations
Reviews
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Q&A
How can the servers be executed?
The servers can be executed using jbang, which allows for easy execution, and can be replaced with npx @jbangdev/jbang, uvx jbang, or pipx jbang depending on preference.
Asked by Fiorella Bianchi · Aug 3, 2025
What is required to contribute or customize the servers?
Knowledge of Quarkus and MCP is required to contribute or customize the servers.
Asked by Larisa Ionescu · Jul 31, 2025
What databases are supported by the JDBC server?
The JDBC server supports any JDBC database, including Postgres, MySQL, Oracle, and Sqlite.
Asked by Malik Rasheed · May 31, 2025
What programming languages can be used to run the servers?
The servers can be run using jbang, which supports Java, JavaScript, Python, and other scripts.
Asked by Urszula Kowalczyk · May 24, 2025
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