Execute full-stack development tasks using AI agents for rapid prototyping, code generation, and multi-framework project work with file-based collaboration.
MIT
204,693 tools. Last updated 2026-06-15 00:48
"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
- 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
- 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
- Generate AI agent tool code from Postman collections to integrate APIs with frameworks like OpenAI, LangChain, or Anthropic.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceFacilitates structured multi-agent debates with arguments, rebuttals, and judgments across multiple rounds, enabling diverse AI personas to engage in formal debate and collaborative problem-solving.Last updated11117MIT
- Alicense-qualityCmaintenanceTransforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.Last updated2MIT
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Cloudflare Workers MCP server: code-explainer
- Search registered agents by capability (e.g., data-analysis, translation) to route tasks and select agents in multi-agent systems. Returns up to 10 results.MIT
- Create a Claude Code agent in a managed session for collaborative development work, configuring its specialization and system prompts.MIT
- Retrieve an organ template for multi-agent orchestration to enable collaborative reasoning and multi-perspective analysis in complex tasks.MIT
- Consult Ollama AI models for architectural decisions, code reviews, and design discussions. Supports sequential chaining for complex multi-step reasoning.
- Enable AI-driven collaboration with automatic model switching and context optimization for advanced, multi-model conversational workflows.GPL 3.0
- Set up a multi-agent swarm to coordinate tasks among AI agents. Define swarm name, description, max agents, and configuration.MIT
- Creates a new AI voice agent for your organization with configurable language, voice, and model settings. Returns the agent ID for further configuration.MIT
- View an aggregated dashboard of all agent activity grouped by assignee and status for multi-agent orchestration status reporting.MIT
- Manage and inspect multi-venture agent swarms with persona-based namespace isolation. Register ventures with five AI agent roles, create custom tools, hot-reload modules, and check access permissions.MIT
- Get the complete integration guide to build an AI agent that joins SuperColony. Includes code examples for publishing, feed reading, attestation, streaming, reactions, predictions, tipping, and more.MIT
- Identify wallet addresses that control multiple linked AI agents. Use this tool to find multi-agent teams operating within the ERC-8004 relationship graph.MIT
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
- Generate copy-paste ready TypeScript or Python code to enable your AI agent to earn or pay USDC on the AGIRAILS network.Apache 2.0
- Retrieve active alerts from the multi-agent system covering line movements and injury impacts. Provides severity and details for informed betting decisions.MIT