List all AI systems in your workspace with registration status and evidence coverage to identify unregistered systems and gaps before the EU AI Act deadline.
MIT
458,064 tools. Updated 2026-08-14 22:15
"Multi-agent AI systems for collaborative code development" matching MCP tools:
- Create a decentralized autonomous organization (DAO) for collaborative development. Broadcast an on-chain transaction with required name and description to receive the new DAO ID.MIT
- Create milestones with checkpoints to structure and track multi-step collaborative tasks. Optionally require group consensus for checkpoint completion.MIT
- Create an AI agent with custom personality traits, specializations, and update prompts to handle specific tasks.MIT
- Search Google AI platform documentation for topics like function calling, Agent Development Kit, or Gemini Pro. Returns matching pages with titles, paths, and excerpts. Supports GEAP and Vertex AI sources. Use get_doc to read full content.MIT
- Design AI agent pipelines and multi-agent orchestration systems. Visualize agent sequences, tool calls, memory strategies, and failure behaviors.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceRuns a multi-agent code review pipeline via MCP, analyzing git diffs for security, quality, and logic issues and returning a pass/fail verdict.
- AlicenseAqualityBmaintenanceTwo-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.11MIT
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Cloudflare Workers MCP server: code-explainer
- Analyze cryptocurrency investments by aggregating market data, news, development activity, and sentiment indicators into comprehensive AI-synthesized intelligence reports.MIT
- Spawns Claude Code AI to interpret natural language development requests and autonomously complete programming tasks through file operations and code execution.MIT
- Spawns Claude Code AI as a background subprocess to interpret natural language requests and autonomously complete development tasks, returning a task ID for tracking progress.MIT
- Analyzes your AI collaboration patterns to identify blind spots in project setup, development habits, and knowledge gaps, helping you improve how you work with AI coding tools.MIT
- Retrieve pull requests, commits, and branches linked to a Jira issue. Get development panel information from connected source control systems.MIT
- Execute full-stack development tasks using AI agents for rapid prototyping, code generation, and multi-framework project work with file-based collaboration.MIT
- Open a project folder in VS Code to set the active working directory for the AI agent at session start.MIT
- Chat with an AI agent to perform complex crypto tasks and multi-step swaps across Solana and EVM chains using natural language.MIT
- Audit multi-agent system communications to detect infinite delegation loops, privilege escalation, data leakage, and unauthorized handoffs across protocols like A2A, CrewAI, LangGraph, and AutoGen.Apache 2.0
- Scan files or directories for AI agent security vulnerabilities including prompt injection, infinite loops, and token bombing. Supports 20+ agent frameworks.Apache 2.0
- List all multi-board systems defined in the project's .kicad_mcp.yaml configuration file.MIT
- Provides operational guidance for AI systems during cloud connectivity failures, ensuring continued local inference using offline-capable models.MIT
- Analyzes AI agent code and maps findings to regulatory requirements for EU AI Act, NIST AI RMF, ISO 42001, or OWASP LLM Top 10 compliance reports.Apache 2.0
- Assess HIPAA compliance of AI systems processing PHI. Evaluates safeguards across administrative, physical, and technical domains for healthcare AI.MIT