Ultra-lightweight headless browser for AI agents. Provides MCP tools for navigating URLs, extracting structured content, and building autonomous agent workflows.
A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol, enabling automated messaging, contact management, and group chat functionality through AI-driven workflows.
Enables structured multi-LLM critique of concepts using three specialized agents (Innovation, Ethics, Security) with multi-vendor LLM support. Provides 13 free tools for validation, template management, and coordination.
Allows AI agents to control and interact with VS Code webviews by providing tools for navigation, element interaction, and state retrieval. It facilitates automated tasks like clicking elements, inputting text, and reading the DOM structure within a VS Code tab.
Enables agent-driven CAD design through deterministic source files (.kcad.ts), including model evaluation, validation, and export to STEP/STL via MCP tools for review and introspection.
A master control program that orchestrates intelligent agents with a plug-and-play architecture, enabling seamless coordination and management of AI agent workflows.
An MCP server that lets Claude directly operate a commercial insurance contracts app through WebMCP, enabling natural-language queries, renewals, updates, and reporting against live React state and Postgres.
Enables autonomous AI agents to conduct non-custodial commerce using JPYC stablecoin on Polygon, with trust scoring, task evaluation, negotiation, and on-chain verification via Soulbound Tokens.
An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.
MCP server for agent reputation staking — trust through skin-in-the-game. Agents deposit stakes as trust collateral, with slashing for bad behavior and reputation building over time.
Proof-of-behavior enforcement for AI agents. Declare behavioral constraints, enforce at runtime, produce SHA-256 hash-chained audit trails. Supports covenants (permit/forbid/require), real-time verification, and cross-agent trust handshakes.
Enables AI agents to execute multi-step Standard Operating Procedures step by step, with enforcement of completion at each step, making LLM behavior predictable and auditable.
Provides a unified interface for autonomous AI agents to access 14 developer toolchains covering commerce audits, security guards, swarm coordination, machine trust, proof ledgers, crawling, telemetry, pricing, local model routing, micropayments, sandbox isolation, A2UI rendering, and message bus dispatch.