"Finding a program written in Java" matching MCP servers:

A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools.

A universal Model Context Protocol server in Java, enabling interaction with multiple LLMs (OpenAI, Gemini, Hugging Face) and databases (MongoDB) through a modular Spring Boot architecture.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

Enables querying and updating Markdown frontmatter metadata using DuckDB SQL, with optional semantic search capabilities for finding similar documents based on content.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.

locidx

A minimal MCP server demo written without the MCP Python SDK that demonstrates the complete protocol flow. It provides weather, file search, and datetime tools, and includes a CLI client that bridges MCP tools with OpenAI function calling.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.

Enables direct access to raw Markdown content from files or directories without processing. Perfect for providing AI models with business rules, documentation, or knowledge bases exactly as written.

MCP server for local .wxapkg inspection, decryption, and extraction. Enables listing WeChat Mini Program packages and decrypting/extracting them.

Search for AI internship and early-career roles in Bengaluru using Tavily, save leads to a local JSON database, and render a Prefab dashboard UI.

A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.

browse, list and edit filesystem. Implemented in Java/Quarkus with native image (Fast!) available

Enables Windows program management through MCP, including listing installed programs, uninstalling software, force removal, and cleaning residual files. Supports generating detailed Markdown reports of system programs with smart categorization and statistics.