mcp and mcp-ai-agent-guidelines
About mcp
mondaycom/mcp
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
Implements the Model Context Protocol (MCP) as a standardized interface for AI agents to query monday.com's work OS via GraphQL API, with both hosted and self-hosted deployment options. Provides TypeScript-based server and agent toolkit packages compatible with Claude, ChatGPT, Cursor, and other AI platforms, handling OAuth authentication and workspace-level access controls. Supports real-time board management, task tracking, and workflow automation without requiring agents to understand monday.com's API directly.
About mcp-ai-agent-guidelines
Anselmoo/mcp-ai-agent-guidelines
A Model Context Protocol (MCP) server offering professional tools and templates for hierarchical prompting, code hygiene, visualization, memory optimization, and agile planning.
Implements agent-to-agent orchestration with tool chaining and context propagation, enabling multi-step workflows where tools invoke each other with shared state. Built as a Node.js MCP server with TypeScript, it exposes specialized tools for code quality analysis (hygiene scoring 0-100), flow-based prompting, Mermaid diagram generation, and dependency-aware sprint planning, integrating via stdio transport with Claude and compatible AI agents.
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