Mason indexes your codebase into a persistent concept map linking features and flows to their implementing files, so AI agents can answer "where is X implemented" without running grep/glob. It also provides pre-edit impact analysis and generates CLAUDE.md files from structured analysis of git history, architectural file sampling, and test mappings.
A local-first, agent-agnostic MCP server that provides semantic search, persistent memory, and automated code review capabilities for development workflows. It leverages the Auggie SDK to offer advanced tools for codebase indexing, implementation planning, and deterministic static analysis.
A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.
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.
MCP server for deterministic Vivado FPGA automation including project scaffolding, simulation, synthesis, implementation, and gated bitstream generation.
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.
Production-ready MCP server enabling LLM text generation, template management, context-aware conversations, and memory storage with enterprise quality assurance.
Enables AI agents to extract structured JSON from invoices and receipts in PDF and image formats using Claude Vision. Supports full document parsing, line item extraction, validation, and batch CSV export with API key or cryptocurrency payment options.