Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

🟪 Open source Agent Governance Platform that turns any LangGraph or ADK agent into a production-ready service. Supports: AG-UI, CopilotKit API, OpenTelemetry, MCP, memory, guardrails, SSO, RBAC.

Security guardrails for Claude Code, MCP tools, and Claude cowork workflows. Local-first modular YARA-style guard packs for secrets, exfiltration, prompt injection, MCP abuse, and risky agent actions.

An MCP server that gives your AI assistant read + write access to Google Ads and GA4 — with safety guardrails that prevent accidental spend.

pfSense MCP Server enables security administrators to manage their pfSense firewalls using natural language through AI assistants like Claude Desktop. Simply ask "Show me blocked IPs" or "Run a PCI compliance check" instead of navigating complex interfaces. Supports REST/XML-RPC/SSH connections, and includes built-in compliance and guardrail

Secure MCP Gateway - Setup Admin level gateway functionality for MCP servers - with guardrails at each MCP server to overcome multiple security issues with using MCPs

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

This project demonstrates contract-first development using a spec-kit approach where OpenAPI specifications evolve organically through feature development. Each feature analyzes existing contracts for reuse before extending the API, using Specmatic MCP as intelligent guardrails throughout the process.

Unofficial. Splunk MCP server. Implemented in Python and TypeScript/JS. Runs searches, queries Splunk, and outputs data as JSON, CSV, or Markdown for agentic LLM workflows. Includes guardrails for input SPL validation and output sanitization. SSE/stdio transport support. Deployment options: Stdio, local HTTP (SSE), or Docker.

Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.

Policy-enforced observability and fail-closed guardrails for MCP/A2A multi-agent systems.

Multi-model AI agent runtime. Define agents in YAML, connect 6 LLM providers, orchestrate with ReAct/Plan&Execute/Fan-Out/Pipeline/Supervisor/Swarm patterns, and deploy as REST/WebSocket API with RAG, memory, MCP tools, guardrails, and OpenTelemetry observability.

GUARDRAIL - MCP Security - Gateway for Unified Access, Resource Delegation, and Risk-Attenuating Information Limits

DeukPack — AI-Ready Interface Hub & Universal IDL Gateway. Unified serializer for Mixed-IDL (Protobuf, OpenAPI, Thrift, .deuk) with AI Semantic Mapping & MCP Guardrails. Ultra-fast codegen for Python, C#, C++, TS/JS, Elixir.

Claude Code plugin — structural guardrails for multi-agent software development. RTM-based evidence, cross-model adversarial audit, 7 MCP tools, worktree isolation, HITL retrospective. DOI: 10.5281/zenodo.19108370

Agentic AI Agents, LangChain v1, Gemini 3, Tool Calling, Agent Memory, Prompt Engineering, Guardrails, MCP, FastAPI

Kiro starter kit for Cloud Platform & SRE teams — steering files, guardrails, skills, and MCP server config

Guardrails service for AI agents. Default-deny tool call evaluation with LLM safety analysis, priority-ordered decision matrix, and human-in-the-loop escalations. Session recording, behavioral analysis, MCP proxy, secret redaction, and real-time audit.

Real-time AI safety guardrails for LLM apps. 10 scanners: prompt injection, PII, harmful content, code vulnerabilities, obfuscation detection. Sub-ms latency. Python + TypeScript SDKs. MCP proxy. Claude Code hooks.

Workflow enforcement for coding agents: Claude Code hooks, Codex AGENTS/skills/MCP, and shared guardrails for safer, repeatable AI-assisted development.

FinOpsGuard is an advanced MCP (Model Context Protocol) agent designed to provide proactive, cost-aware deployment guardrails for DevOps pipelines. It enables DevOps teams to estimate cloud costs, detect inefficient resource usage, and enforce budget policies before resources are provisioned.

Add plugins like observability, timeout, timing, ratelimiting, guardrails, human-in-the-loop to your MCPs

Give your AI agents structure, guardrails, and full observability — the Agent control plane built on MCP.

🤖 Not yet another Agent framework. This is a clean implementation of the OpenAI Agent SDK designed for two types of users from day one: Business Owners who need a no-code solution for AI customer support agents, and Developers who want the full power of the SDK with MCP, tool calling, guardrails, and more. Deploy instantly via a simple JS snippet

Terraform-Guardrail (TerraGuard) MCP is an open-source governance framework that enforces consistent, executable guardrails for Terraform across CI/CD pipelines—helping teams deliver secure, compliant infrastructure at scale without slowing down development.

Enable AI assistants to explore and query your Turbot Guardrails data!

MCP-MathMind – An AI-powered, human-in-the-loop math tutor built with MCP (Model Context Protocol) for tool integration, DSPy for feedback-driven prompt optimization, LangChain for agent orchestration, Groq and Gemini for fast and accurate reasoning, and FAISS for knowledge retrieval. Supports input/output guardrails, web search, and adaptive learn

Allow configuration and invocation of guardrails for Envoy based MCP Gateway

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