A Python MCP server that exposes the Graphify knowledge graph as MCP tools, prompts, and resources, enabling AI assistants to explore codebases through a token-budgeted, structural graph during development.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
AI bookkeeper for small businesses that connects to QuickBooks Online. Enables users to query financial data like bank balances, P\&L reports, and invoices through natural language in Claude Desktop or Cursor.
Provides AI assistants with persistent graph-based memory capabilities using Neo4j, enabling semantic search, relationship tracking, and knowledge organization across multiple project contexts.
Production-ready MCP server enabling LLM text generation, template management, context-aware conversations, and memory storage with enterprise quality assurance.
