"The Sounds Resource" matching MCP servers:

MCP server that integrates Claude with the Kyushu University supercomputer Genkai's TCS (PJM) job scheduler. It enables natural language control of job submission, status monitoring, deletion, resource queries, and reading output files.

MCP server for interacting with Knights of the Old Republic game installations, enabling resource discovery, inspection, and analysis for AI agents.

A modular framework for building and running multiple MCP servers with file operations, system information, and extensible tool/prompt/resource support.

Enables AI agents to translate text, lists, and local documents through a LibreTranslate instance, detect languages, list supported languages, check service status, and submit translation suggestions over stdio or Streamable HTTP. It also exposes the raw LibreTranslate API through resource, describe, and call tools for broader operations.

Enables AI agents to interact with a sandboxed filesystem via MCP tools for reading, writing, searching, and monitoring files, including batch processing and resource discovery for resume management.

An MCP server providing tools for read-only SQL queries, REST API calls, sandboxed Python execution, and resource lifecycle management, enabling multi-step research and data tasks.

A high-performance TypeScript server that enables interaction with Obsidian vaults through the Local REST API community plugin. It provides comprehensive tool discovery, intelligent resource caching, and unified access to both markdown notes and binary vault files like images and PDFs.

A stateless HTTP streaming MCP server built with Express that provides tools to read resource files (widgetResource.md and pageResource.md) and demonstrates the HTTP Streaming Transport protocol implementation.

A security-hardened MCP server that enables AI models to safely interact with Obsidian vaults through sandboxed file operations and todo tracking. It implements strict validation layers and resource limits to protect the local filesystem from potentially hostile tool calls.

Enables AI clients to control local Windows development tools by exposing project files, code search, file editing, test execution, Git operations, and resource viewing through a secure MCP interface with permission controls.

Enables agents to read, search, batch process, and watch directories of resume files via JSON-RPC MCP methods and resource discovery.

Enables AI clients to perform arithmetic operations and safely read UTF-8 text files and metadata within the project directory via MCP tools, a resource, and a prompt.

Custom MCP tools for local development that enable file system access, shell command execution, and web resource browsing. Designed for local use with safety considerations for potentially destructive operations.

Enables Claude to perform comprehensive read and write operations on Google Docs, Sheets, and Drive folders. It supports file management, content searching, and provides resource access via custom URI schemes for seamless project context integration.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

A TypeScript prototype for an MCP-style registry providing local utility tools for shell command execution, filesystem access, and search functionality. It features Zod input validation and project manifest resource exposure for embedding into larger MCP implementations.

MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.

Deterministic file operations for AI agents: 40 operations over plain HTTPS. PDF merge, split, redact, sanitize, OCR, Office and PDF to Markdown, RAG chunking, charts, QR codes, C2PA AI labelling. find_tool suggests the right one. $0.01 per operation, 100 free, no signup, credits never expire.

Enables reading, searching, editing, and writing files in legacy encodings such as GBK, Big5, Shift-JIS, and Windows codepages, with automatic detection and preservation of the original encoding.

Enables MCP-capable LLM clients to read browser screenshots captured by the SnapStack extension, stored locally and served over Streamable HTTP.