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MCP servers tagged policy-engine
86 live MCP servers tagged "policy-engine", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with policy-engine.
Imara
Runtime governance for AI agents: audit trails, policy enforcement, and compliance for MCP tool calls
Mcpkernel
The Security Kernel for AI Agents — MCP/A2A gateway with policy enforcement, taint tracking, sandboxed execution, deterministic envelopes, and Sigstore audit. OWASP ASI 2026 compl…
LNSAT
Open-source, pre-release source for policy-governed AI-agent authorization, scoped human approval, audit evidence, and read-only MCP adapters.
PortunusMCP
Zero-trust, risk-aware gateway proxy for the Model Context Protocol (MCP) — enforces identity-scoped tool access, detects schema drift ("rug pull") attacks, scores tool-call risk,…
Ghl MCP Scoped
Least-privilege policy wrapper for any GoHighLevel MCP server. Declare which tools an AI agent may call and under what argument conditions; everything else is refused and logged.…
Actionproxy
Open-source approval gateway for AI agent tool calls: policy, human approval, one-time execution grants, and audit evidence.
World999 Labs Proof Layer
Proof Layer is a cryptographic governance layer for AI agents. Before an agent action executes — a database write, API call or workflow step — Proof Layer evaluates it against pol…
DevCD
Local-first Developer Context Daemon with explicit state, memory, and policy layers.
Maqam
Give AI agents hands without handing them the keys: exact one-use approvals and verifiable receipts for registered actions.
Dualkey Agent
Approvals, deterministic policy, and signed receipts for AI agent actions.
Dhms Engine
DHMS / AgentFuse: Execution assurance layer for AI agents — verify tool-call decisions, dispatch boundaries, and execution outcomes.
Command Scope Contract
Bounded shell and CLI execution for AI agents: structured contracts, policy-gated execution, hardened Linux runtime enforcement, and signed receipts.
Locale
Agent policy layer for safe tool use across MCP, A2A, and orchestrated agents.
Yana AI
Yana AI 🐰 One runtime. Any AI. Human-governed. A local-first, cross-platform system for running, connecting, orchestrating, and governing AI — with deterministic control over wh…
Kvlar
Runtime security for AI agents — policy engine and MCP proxy
Agent Monitor
Local-first activity monitor, deterministic policy gate, and universal security boundary for autonomous AI agents and Model Context Protocol (MCP) clients.
Trustline MCP
Zero-trust policy engine for MCP tool calls with deny-overrides rules, redaction, quotas, and tamper-evident audit logs.
Taskplex
TaskPlex — structured workflow orchestration for AI coding agents
Belay MCP
Transaction firewall for AI agents. Preview, govern, verify and rewind MCP and native tool calls with deterministic policies, human approvals and signed evidence.
Chaperone
Open-source AI agent security gate: deterministic ALLOW/BLOCK/ESCALATE authorization before every tool call, plain-English policy compilation, tamper-evident audit ledger. MCP sec…
Yai
Governed work and durable semantic continuity: Case state, policy, resources and cognitive execution, independent of any model or provider.
SentinelRAG
A policy-aware hybrid RAG agent for secure question answering over code repositories and documentation, with BM25/FAISS retrieval, MCP-style tool routing, and multi-model evaluati…
Parimit
Proposal-only payment-intent governance for AI agents: deterministic policy, demo human review, hash-linked audit evidence, REST, MCP, and mock outcomes—without a live payment rai…
Mcpinterlock
Policy firewall and audit layer for MCP tool calls. Fixed an SSRF bypass where hostnames resolving into RFC 6598 CGNAT shared address space (100.64.0.0/10) weren't blocked -- Pyth…
Doupass
Local-first policy engine for AI coding agents (pre-v0.1)
Kapsel
Kapsel is a local secret vault, policy engine, execution broker, and stdio MCP server for AI agents.
Arclasp
Runtime governance for AI-agent workflows with cumulative controls and human approval.
Broker Fire
Cryptographic gateway between AI agent intent and action. 15 synthetic gates. TS-Python parity. Zero dependencies.
Zence
Task-scoped context and policy firewall that keeps Claude Code inside the correct client, domain, and environment — using DataHub's metadata graph.
Schema Driven Policy Workflow Agent
Deterministic pre-execution governance layer for agentic workflow actions using schema contracts, MCP, HITL, ADK-style orchestration, and evaluation cases.
Tessyr
Policy and proof layer for consequential AI agent actions.
Unified MCP Control Plane
Policy-gated MCP control plane with OAuth 2.1, provider adapters, risk classification, credential redaction, and Node/Cloudflare runtimes.
McpO2
Policy-aware MCP routing fabric for secure remote module access, capability-based orchestration, and large-context agent execution.
Agentsafe Guard
Runtime governance for AI agents. Wrap a tool in three lines; every call is signed and decided outside your process. Blocked calls never reach your code.
Mandate Os
Operational guardrails for AI agents
TransferOps
Local-first FastAPI control plane for policy-governed transfer operations.