"author:6" matching MCP servers:

Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.

MCP server for LLM quantization. Compress any HuggingFace model to GGUF, GPTQ, or AWQ format. 6 tools: info, check, recommend, quantize, evaluate, push. Self-contained Python server — no external CLI needed.

MCP bridge between an AI assistant and the Godot editor, enabling control via 6 tools (call methods, run GDScript, screenshots, etc.) over WebSocket.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

Enables MCP clients to inspect and modify a live Unity 6 Editor over stdio, handling scenes, GameObjects, components, scripts, prefabs, assets, console logs, and play-mode control. It also supports sandboxed C# execution and remote input hooks for AI-driven self-play and game-state snapshots.

Connects AI assistants to the Repovive competitive-programming platform, enabling them to browse problems and contests, judge and submit code for real verdicts, track ratings, communicate with users, and author verified problems and rounds.

Enables Claude to generate executable test cases from decision tables in CSV, JSON, or Markdown formats. Provides intelligent test planning guidance and generates Playwright/API test code with TypeScript support.

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Enables AI assistants to execute R code, create visualizations, analyze data, and manage packages through a local Rscript CLI.

Enables MCP-capable agents to author, compile, run, and commit generative music E-- Recipes from a library catalog, completing the full authoring loop.

Turns any YAML manifest into a fully-functional MCP server without hosting infrastructure, enabling custom tools, resources, and prompts via declarative configuration.

A comprehensive local offline MCP server with over 300 tools for file operations, office documents, PDFs, code execution, databases, web browsing, memory, and cognitive functions, designed to work offline except for web search and email.

Enables compatible MCP AI tools to read, write, design windows, and run programs in the E-Language IDE.

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 asynchronous and parallel execution of Claude Code tasks across multiple sessions, allowing users to start background tasks and continue working immediately without blocking.

Enables AI assistants to build, test, and balance PICO-8 games through headless simulation, screenshots, and authoring of sprites, sound effects, and music.

A mathematical MCP server exposing 6 basic arithmetic and secure symbolic expression evaluation tools (add, subtract, multiply, divide, power, evaluate_expression) with structured JSON responses, input validation, and safe AST-based parsing.

A production-grade MCP server with 6 sandboxed tools and an agent orchestration engine for autonomous task completion, featuring an evaluation suite with CI/CD quality gates.

Enables AI assistants to create and modify Google Apps Script projects, manage versions and deployments, run functions, and inspect execution history through natural language.