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
Open-source, accountant-verified tax computation skills for AI agents. 261+ skills across 172+ jurisdictions covering income tax, VAT/GST, payroll, corporate tax, crypto, and cross-border planning. Every skill is verified section-by-section by licensed CPAs and chartered accountants. 3 tools (list_skills, get_skill, get_skill_sections) and 1 prompt (skill-review).
Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents.
Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints.
Generate committable markdown reports directly from Claude/Cursor. Includes 50+ pre-validated APIs like Stripe, GitHub, Twilio, OpenAI, and more.
MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.
This MCP server is designed for planning with Claude Code, Cline, or Cursor and making changes with Cerebras to maximize speed and intelligence while avoiding API limits. It uses the Qwen 3 Coder model for high-quality code generation and can be embedded in IDEs.
MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.
Enables searching J-Quants API endpoints, retrieving detailed documentation, generating executable sample code, and answering FAQs via MCP clients like Claude Desktop.
An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.
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.
Agentic AI scheduling infrastructure for field service teams. Match crews to jobs by location, skills, and availability — with sub-3-second cascade rescheduling.