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AI-with-Laravel is a Laravel-based starter project that demonstrates how to integrate AI capabilities directly into your Laravel applications.

Deterministic pre-flight ledger validator that treats AI agent proposed financial writes as untrusted input, validating them against ledger invariants before commit, ensuring invalid transactions result in zero ledger mutation.

MCP server for Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. 210+ tools. Account audits, wasted spend detection, PMax insights, and full campaign management via AI.

Captures tool calls, responses, and state transitions during AI agent execution for step-by-step inspection and replay. Provides debugging tools to reproduce and analyze agent behavior across recorded sessions.

Hierarchical node index and hybrid retrieval synthesizer for advanced RAG (LlamaIndex style)

Enables AI agents to research customer voice by searching Reddit and extracting structured comments from supported community platforms via MCP.

Remove signs of AI-generated writing from text.

A simple demonstration MCP server that provides a basic 'say_hello' tool for greeting users by name, serving as a template for building MCP servers with TypeScript.

Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.

Enables AI assistants to interact with Tencent Lexiang enterprise knowledge base for searching, reading, creating, and editing documents, managing files, and importing meeting recordings.

Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list.

Crypto compliance intelligence for AI agents — sanctions screening, corporate verification, shell company detection, and regulatory tracking via the Model Context Protocol.

Enables interaction with Binance cryptocurrency exchange through API integration. Provides datetime utilities, connectivity testing, and server time synchronization for cryptocurrency market operations.

MCP RAG Server is a Python MCP server that indexes documents in multiple formats (Markdown, text, PowerPoint, PDF) using multilingual-e5-large embeddings and enables vector search for retrieval-augmented generation.

Influencer brand share of voice & creator mention sentiment monitor (Meltwater)

Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.

An autonomous penetration testing server that provides nmap network scanning and searchsploit vulnerability discovery tools for security assessments. Built by alexgarabt, the implementation includes both a standalone agent that directly integrates security tools with Google's Gemini model, and an MCP server version that exposes the same capabilities through the Model Context Protocol for broader integration. Built with LangGraph for autonomous workflow orchestration, it automatically performs network reconnaissance, identifies running services and versions, then searches for known exploits across all discovered services to generate security reports. This makes it useful for automated vulnerability assessments, security auditing, and penetration testing workflows.

Browser DOM accessibility tree pruner filtering non-interactive noise and generating dense actionable trees for web agents

Portkey Admin MCP Server provides a comprehensive administrative interface for the Portkey AI platform, enabling management of users, workspaces, configurations, and cost analytics through a set of standardized tools. Built with TypeScript and the Model Context Protocol SDK, it offers direct programmatic access to Portkey's management API, allowing administrators to invite users, list virtual keys, retrieve workspace details, and analyze platform usage and costs. The implementation is particularly useful for organizations seeking granular control and insights into their AI infrastructure and spending.