"author:6" matching MCP servers:

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.

AI image generation with 6 Flux models (flux-dev, flux-pro, flux-kontext) including context-aware image editing, async task management, and built-in model guide.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

Helps AI agents author, validate, explain, draft, and test Liminate Agreements locally, with an optional API for translating compliance documents into Agreement drafts.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

An AI personality collaboration tool based on Model Context Protocol (MCP) that enables users to summon and collaborate with multiple AI personas for intelligent analysis and problem-solving.

Enhances Gemini CLI with SuperClaude Framework v4.0.9, providing 22 specialized commands, 14 domain-expert agents, and integration with 6 MCP servers for development, analysis, and automation.

缔零法则MCP是基于LLM和RAG技术搭建的实现完全替代人力的全自动化风险识别的内容安全审查平台，致力于通过代理AI技术减少人力成本，高效高精度为用户提供分钟级接入的内容风控解决方案，破解安全威胁，提供从风险感知到主动拦截策略执行的全链路闭环与一体化解决方案。This MCP tool is an AI-powered content security review platform built on LLM and RAG technologies, designed to achieve fully automated risk identification that completel

Enables complete Minto pyramid analysis through a 6-phase pipeline with sequential thinking, evidence gathering, and structured outputs.

Exposes foldkit 7-prime spine, κ-band classification, and 6 fold operations as tools and resources for MCP-compatible AI clients like Claude Code.

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

Tamper-proof audit trail for AI decisions. 6 tools to record, verify, and export cryptographic proof chains via MCP.

An AI copilot for marketing budgets that uses a 6-agent society with learned memory to manage ad accounts, built as a Model Context Protocol server for Qwen Cloud.

Enables AI clients to access T-Invest market data and account information for MOEX futures, including candles, last price, order book, instrument specs, portfolio, free margin, and operations history. It also supports position sizing and optional trading actions such as market/limit orders, stop-loss, take-profit, cancellation, and position closing.

An MCP server enabling AI agents to author Unreal Engine 5 scenes directly, with tools for spawning actors, building PCG graphs, validating physics, generating terrain, and more through a single MCP connection.

Enables persistent terminal sessions across multiple shells (Bash, CMD, PowerShell, WSL) with incremental output reading and autonomous goal execution with acceptance criteria.

Evaluates AI agent and MCP server competency across 6 quality dimensions using challenge-response tests, returning quality scores and W3C Verifiable Credentials.

AI-orchestrated security testing via 6 Python tools (recon, port scan, subdomain hunting, frontend scanning, API fuzzing, and nemesis orchestrator) exposed as MCP tools for use by AI agents.

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as MCP tools and resources for AI agents to fold/unfold states, classify utterances, and apply fold operations.