"author:Mnehmos" matching MCP servers:

Enables programmatic control of the Z.ai/Zhipu desktop AI coding agent by spawning and owning its headless agent runtime and speaking the ZCode Protocol over stdio, rather than simulating a user. Exposes tools to run and steer chat sessions, inspect conversations and file changes/rewinds, and manage settings, providers, plugins, MCP servers, automations and approvals under a deny-by-default policy with mandatory read-back verification.

Enables searching and retrieving academic papers from arXiv by various criteria including title, author, and category, with support for extracting full text content from PDFs.

Detects schema mismatches between data producers and consumers through static analysis, supporting extraction, comparison, code generation, and automated validation with watch mode for MCP tools, APIs, and service contracts.

Enables AI assistants to search and retrieve academic papers from arXiv through MCP tools, supporting search by various criteria, detailed paper information, category browsing, and PDF content extraction.

Query D&D 5e game data from 22+ source books and contribute to the open-source database with validation, diffing, and PR generation tools.

Static analysis engine that detects schema mismatches between data producers (like MCP servers) and consumers (like client code), preventing runtime errors by validating contracts at development time.

A lightweight ChatGPT app that converts your LLM into a Dungeon Master!

RPG game engine that lets AI run tabletop sessions without hallucinating mechanics. SQLite-backed persistence, D\&D 5e-style combat, procedural world generation, and deterministic dice.

Provides comprehensive computer control capabilities including shell commands, file operations, screen capture, keyboard/mouse input, window management, clipboard access, and system monitoring following the OODA loop pattern.

Provides persistent context synchronization and memory management for AI agents across sessions and projects, including file indexing, bug tracking, spatial navigation, and agent-to-agent handoff coordination.

Enables AI agents to create, inspect, edit, and export pixel art, sprites, animations, and spritesheets using headless Aseprite, and to convert arbitrary images into indexed pixel art.

Enables passive reconstruction of an application's HTTP endpoints, WebSocket/event surfaces, payload schemas, and process architecture purely by observing labeled traffic, logs, and process metadata — never by sending requests to the target. Findings carry evidence levels and confidence, and can be exported as OpenAPI, AsyncAPI, JSON Schema, protocol catalogs, architecture maps, and candidate MCP capability surfaces.

Enables read-only reverse engineering of binaries over MCP, including disassembly, container-format analysis, cross-build matching, verified symbol knowledge, and JVM decompilation.

Creates deterministic, auditable vector databases from any content source with deployable RAG applications. Supports multiple embedding providers and vector databases with fine-grained pipeline control or project-based workflows.

A backend server that executes advanced logic primitives and cognitive operations through the Model Context Protocol, allowing integration with various LLM providers for reasoning, data processing, and structured thought processing.

An MCP server that exposes FFmpeg as a structured tool set for AI agents, enabling timeline-based video editing, preview, rendering, and analysis with an optional LLM autopilot.