Provides repository-scoped safe memory for AI coding agents with just-in-time verification against file changes to ensure facts remain accurate. It links memories to specific code citations and automatically marks them as stale if the underlying source code is modified or deleted.
Verified memory infrastructure for AI agents. Every assertion signed, timestamped, and cryptographically proven. Includes session continuity across Claude Code, Cursor, and Windsurf, plus Proof Meter billing attestation.
Verify AI agent tool calls with content-addressed, HMAC-attested receipts. Free third-party verification API for AI agents. Call verify_action(claim, evidence) to get an independent integrity check on whether your claimed action matches the actual evidence. Useful for catching silent failures: incorrect SQL operations, file-op mismatches, API call inconsi
Enables RTL simulation and hardware verification with Verilator through automatic testbench generation, natural language queries about simulations, waveform analysis, and protocol-aware testing for Verilog/SystemVerilog designs.
Real-time fact-checking agent. Verifies claims and URLs against live web sources. Returns CURRENT, OUTDATED, DISPUTED, or UNVERIFIABLE verdicts with confidence scores and what changed. x402 payments on Base.
Provides AI agents access to Medicare coverage policies, prior authorization requirements, and medical code lookups (CPT, HCPCS, ICD-10, NDC) through the Verity healthcare API.
MCP server for VertaaUX.ai — run UX & accessibility audits, generate fixes, and monitor quality from your LLM or IDE. 38 tools covering the full audit-to-fix lifecycle across 7 UX categories.
Model context protocol server with Veryfi API access
Enables control of Vestaboard displays through cloud and local APIs, allowing users to send messages, read current displays, and manage animation effects. It provides tools for automatic text-to-character-code formatting and supports various transition strategies for message display.
Enables Android Automotive developers to explore and implement Vehicle Hardware Abstraction Layer (vHAL) properties with intelligent tools for property analysis, source code lookup, implementation guidance, and automated code generation for automotive systems like climate control and seat management.
Enables interaction with Google Ads accounts through the Model Context Protocol, specifically tuned for local service businesses. Provides account health scoring, search term waste analysis, and diagnostic insights without requiring GAQL knowledge.
Connects Roblox Studio to AI coding editors via the Model Context Protocol, allowing AI agents to understand and interact with live Roblox Studio sessions through scene manipulation, scripting, and optional Roblox Open Cloud API integration.
Persistent memory and task board for Claude Code. 14 tools spanning projects, tasks, sessions, and activity logs — backed by Firestore, runs on the free tier. Handoff notes survive context compaction; the next session reads the last handoff and picks up where you stopped.
Feedback MCP Server
Implements a structured development workflow for LLM-based coding with feature clarification, PRD generation, phased development, and task tracking. Guides LLMs through organized feature development from requirements gathering to completion with document storage and progress monitoring.
Automatically collects, summarizes, and documents code from vibe coding sessions, generating multiple document types (README, DESIGN, TUTORIAL, etc.) and publishing them to platforms like Notion, GitHub Wiki, and Obsidian.
An AI-guided conversation-driven development framework that helps build MVPs and POCs rapidly through intelligent dialogue with specialized MCP services.
This runs a mcp server for automatic testing of usability from a users pov
全面解析Vibe Eyes ClientMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Vibe Eyes Client能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
npm install vibe-eyes-client
Provides security assessment methodology, tool documentation, and step-by-step workflows to guide AI agents through vulnerability scanning, static analysis, and penetration testing of applications and URLs.
