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"CrewAI" matching MCP servers:

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    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.
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    Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)
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    1,586
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    MIT
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    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.
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    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.
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    10
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    Apache 2.0
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    AI agent identity, permissions, trust scores, and tamper-evident audit trails. 17 MCP tools: register agents (Ed25519 keypairs), check permissions (sub-5ms), emit audit events, verify trust scores (0-100), delegate credentials, ephemeral agents. IETF Internet-Draft filed. Works with LangChain, OpenAI, CrewAI, Stripe ACP. npx @vorim/mcp-server
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    MIT
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    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.
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    6
    MIT
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    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.
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  • F
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    DingDawg Loop Protocol (DDLP) — safe scheduled AI agents with governance gates. Every loop execution is verified, receipted, and fail-closed. MCP-native, works with CrewAI, LangGraph, Claude Code, Cursor.
    Last updated