"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.

Enables MCP clients to browse, search, download, and upload files in a NAVER MYBOX drive, plus inspect storage quota and create folders, all paced under the documented API rate limits. Read-and-write only: file deletion and trash management are deliberately not exposed.

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 secure, highly capable MCP server written in Rust. It exposes a comprehensive suite of filesystem operations as tools for AI agents.

MCP server for managing i18n JSON translation files. Provides Claude with structured read/write access to translation files for adding keys, checking coverage, and finding duplicates.

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 users to read, search and edit GEDCOM (.ged) family-tree files from Ancestry.com and other genealogy software, letting an MCP client navigate relationships, explore ancestor and descendant trees, inspect sources and citations, and make safe, lossless edits that are written straight back to the file with a backup.

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.

Enables lossless parsing, inspection, validation, simulation, and creation or editing of FATEK .ldr ladder-logic files through local stdio MCP tools, including a user-import-verified start/stop template. New files are written to an artifacts directory so existing files and original samples are never overwritten.