Transforms any compatible LLM or AI Assistant into a master orchestrator of CrewAI, providing tools to dynamically generate, edit, test, and execute multi-agent systems.
MCP server enabling text-to-SQL on PostgreSQL databases using a CrewAI multi-agent system. It generates and executes read-only SQL queries from natural language, with security layers against prompt injection.
A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.
MCP server that lets coding agents test AI agents. Create YAML test cases, snapshot golden baselines, check for regressions, and generate visual reports all from inside Claude Code or any MCP-compatible tool. Works with LangGraph, CrewAI, OpenAI, Claude, Mistral, and any HTTP API.
Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.
Cryptographic proof of consent for AI agents. Sign before you act. Policy engine enforces spending caps, action whitelists, and escalation rules. Independently verifiable by anyone.
Ag402 is the payment layer for Coinbase's x402 protocol. Wrap any API or MCP server with a paywall in one command (ag402 serve), or let your AI agent auto-pay for paid APIs (ag402 run). Zero code changes for both buyers and sellers. Solana USDC, ~0.5s settlement, non-custodial, 648+ tests, MIT licensed. Works with Claude Code, Cursor, OpenClaw, LangChain, AutoGen, CrewAI out of the box.
Enables Claude Code and other MCP-compatible tools to leverage MeshAI's multi-agent orchestration capabilities for code review, refactoring, debugging, documentation, architecture analysis, and feature development. Automatically selects appropriate AI agents based on task content and works with agents built on LangChain, CrewAI, AutoGen, and other frameworks.
EU AI Act compliance scanner for Python AI agents. Scans, analyzes, and remediates LangChain/CrewAI/AutoGen/OpenAI code across 6 articles with 10 MCP tools including prompt injection detection, risk classification, and fix code generation.
Enables agents and MCP-compliant clients to run multi-language code in a deterministic, zero-dependency sandbox where AST security analysis blocks dangerous syscalls and isolated execution telemetry is captured. It exposes this through JSON-RPC 2.0 stdio, letting frameworks like LangGraph, CrewAI, Cursor, and Claude Desktop validate and execute agent-generated code safely.
Enables natural-language analysis of insurance customer migration data through CrewAI agents, providing tools for querying renewals, churn, competitor returns, and feature adoption.
Enables agents and MCP-compliant clients to resolve tool execution graphs as topological dependency DAGs, batching independent calls in parallel and speculatively prefetching arguments to cut latency and token burn. Runs deterministically as a zero-dependency JSON-RPC 2.0 stdio server for frameworks like LangGraph, CrewAI, AutoGen, and IDEs such as Cursor, Windsurf, and Claude Desktop.
A lightweight Python-based server designed to run, manage and create CrewAI workflows using the Model Context Protocol for communicating with LLMs and tools like Claude Desktop or Cursor IDE.
Exposes multimodal analysis tools (text search, image metadata/captions, audio features, video frame sampling) over a local media store via MCP, and includes an optional CrewAI Router/Specialist/Responder client that routes requests by modality.