microsoft/markitdown
MarkItDown is a Python tool that converts various file formats into Markdown and integrates with LLM applications via an MCP server for enhanced text analysis and document processing.
Awesome MCP › Other MCP Servers
quarkiverse/quarkus-mcp-servers
The project "quarkiverse/quarkus-mcp-servers" provides a collection of Model Context Protocol (MCP) servers implemented using the Quarkus framework in Java. These servers are designed to extend the capabilities of MCP-enabled Large Language Model (LLM) AI applications by enabling them to interact with various external systems and resources. The servers support interaction with databases through JDBC, allowing access to any JDBC-compatible database such as Postgres, MySQL, Oracle, and SQLite. Another server, jvminsight, enables inspection of running JVM processes, providing valuable insights into Java applications. The filesystem server allows serving files from specified file system paths, facilitating file access and management. The jfx server exposes a JavaFX canvas for drawing, which can be used for graphical interactions. Additionally, the project includes servers for interacting with Kubernetes clusters and container engines like Docker, Podman, and other OCI-compatible engines, enabling container management and orchestration. The wolfram server integrates with the Wolfram Alpha LLM API to perform web searches optimized for LLM use. The project supports running these servers easily using jbang, which allows execution in various environments including Java, JavaScript, and Python. The repository also encourages contributions for new servers and provides guidance on how to create and integrate new MCP servers into the project. This suite of MCP servers is useful for developers looking to enhance their LLM AI applications with extended context and capabilities by connecting to diverse external systems such as databases, JVM processes, file systems, container platforms, Kubernetes, and external APIs. The project is part of the broader MCP ecosystem and complements other MCP clients and servers available in the community.
https://github.com/quarkiverse/quarkus-mcp-servers
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