An open engine that gives AI persistent, reusable UI components with a writable component registry, versioned data storage, and a shell runtime, enabling AI to create, save, and reuse single-purpose apps.
Enables coding agents to query and manage SAP Commerce (Hybris) instances via FlexibleSearch, Groovy, ImpEx, and type system browsing through the HAC console, with secure credential handling and multi-environment support.
Enables compliance checking and risk forecasting for the EU Platform Workers Directive (2024/2831), including employment-status presumption, algorithmic management disclosure, and human oversight.
A development platform that helps AI developers optimize prompts through intelligent context management, providing tools for analysis, optimization, and template management to reduce costs and improve AI response quality.
MCP server for Brazilian Federal Senate open data — 90 tools covering the legislative process, Senate administration, and citizen participation. Hosted on Cloudflare Workers (Streamable HTTP), no authentication required. Tool names and responses are in Portuguese (pt-BR), matching the official Senate data.
Selects the minimum code context an LLM needs to understand a git diff: graph-based fragment selection under a token budget, deterministic output, 30+ tree-sitter languages.
The open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.
MCP server for Pi Network that enables AI agents to query Pi chain data (balances, transactions) and verify user tokens, with optional payment sending that is off by default.
Scans any website to generate an Agent Readiness Report based on the ASO framework, evaluating agent discoverability, trust, interoperability, and commerce readiness.
Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.
Model Context Protocol server for AI Canvas. Search, inspect, and install open-source React and Tailwind components from the aicanvas.me registry directly in your AI editor.